{"id":"W4313206620","doi":"10.5281/zenodo.7489228","title":"Ekspresowa Analiza Zagrożenia Agrofagiem: Diaporthe vaccinii","year":2018,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agriculture, Plant Science, Crop Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003339894,0.0005123004,0.0005889328,0.002023402,0.0004568835,0.001175162,0.0002343353,0.0003063146,0.002209835],"category_scores_gemma":[0.000302814,0.0001657534,0.0003407414,0.001379529,0.0001927818,0.0005716997,0.0004269209,0.0004589129,0.001182181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657763,"about_ca_system_score_gemma":0.0003261319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115427,"about_ca_topic_score_gemma":0.004422519,"domain_scores_codex":[0.9997068,0.00001806843,0.00003281926,0.00009484169,0.00009607623,0.0000514704],"domain_scores_gemma":[0.9998277,0.00002253867,0.00004950761,0.00001211145,0.00006620656,0.00002191003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006717275,0.0003620585,0.150858,0.001719637,0.0001991596,0.002178069,0.001570955,0.000335276,0.7158025,0.0003432046,0.001459591,0.1244999],"study_design_scores_gemma":[0.00002136025,0.0004667841,0.8756475,0.0001518829,0.0003541927,0.003579936,0.001756532,0.0006030477,0.08281496,0.0002156735,0.03435576,0.00003243652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9720391,0.007457037,0.004166923,0.0001240052,0.0001045819,0.0002012735,0.004779518,0.0002243833,0.0109031],"genre_scores_gemma":[0.9736291,0.004936671,0.007640096,0.0001037473,0.00003064138,0.0000971062,0.006316288,0.00009854919,0.007147777],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004115427,"threshold_uncertainty_score":0.008182943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743776670902714,"score_gpt":0.2465591643154879,"score_spread":0.1891213976064608,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}