{"meta":{"query_hash":"8ed836e0aebe","filters":{"venue":"Italian Journal of Agrometeorology"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8ed836e0aebe","api":"https://metacan.xera.ac/api/v1/cohort?venue=Italian+Journal+of+Agrometeorology"},"results":[{"id":"W3188604592","doi":"10.36253/ijam-406","title":"Development of agro-climatic grape yield model with future prospective","year":2021,"lang":"en","type":"article","venue":"Italian Journal of Agrometeorology","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Climate change; Precipitation; Standard deviation; Evapotranspiration; Environmental science; Crop yield; Agriculture; Climate model; Mathematics; Climatology; Statistics; Agronomy; Meteorology; Geography; Ecology","score_opus":0.02950838106497499,"score_gpt":0.24661004606106213,"score_spread":0.21710166499608713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188604592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68141174,0.00074381725,0.27982306,0.0005524139,0.00015189892,0.00015297426,0.004304728,0.0018785816,0.03098081],"genre_scores_gemma":[0.9835634,0.00017639203,0.010052706,0.000037206562,0.000012471661,0.00007450433,0.0015685961,0.0000769347,0.0044378205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999101,0.00001671339,0.000005105542,0.000028349996,0.000023747882,0.00001594584],"domain_scores_gemma":[0.99986553,0.000041050123,0.000015960539,0.000011214328,0.00005680611,0.000009313812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025382804,0.00045465922,0.00034982857,0.00026924288,0.0002574658,0.00056824356,0.0009937888,0.00058267143,0.0019727168],"category_scores_gemma":[0.0006004351,0.00024254693,0.00073964096,0.00034687392,0.00016790311,0.0003898119,0.00033540287,0.00054322055,0.0002943203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017324664,0.000012394977,0.0020398987,0.000016029924,0.00001436439,0.000043369797,0.000010653383,0.99403316,0.0008311982,0.0005157703,0.00035559718,0.0021102654],"study_design_scores_gemma":[0.0000038657454,0.0000064012474,0.0007583256,0.0000022244799,0.000006287172,0.000006784685,0.0000046941364,0.9981993,0.0003045074,0.00021139614,0.0004926941,0.0000036635415],"about_ca_topic_score_codex":0.03772334,"about_ca_topic_score_gemma":0.019527262,"teacher_disagreement_score":0.03772334,"about_ca_system_score_codex":0.00064034597,"about_ca_system_score_gemma":0.00066135195,"threshold_uncertainty_score":0.0750075},"labels":[],"label_agreement":null}]}