{"id":"W4391676463","doi":"10.32920/25137140","title":"Temperature data for vine shade study","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vine; Environmental science; Horticulture; Geography; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002168394,0.0001537746,0.0002100752,0.00001170444,0.00009497405,0.0002594688,0.0006170284,0.0001310173,0.002056334],"category_scores_gemma":[0.00003241127,0.00004341345,0.0001117881,0.0001511178,0.00001184739,0.0000301764,0.001231357,0.0002421125,0.00007042196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001134689,"about_ca_system_score_gemma":0.000007829607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002031028,"about_ca_topic_score_gemma":0.002582005,"domain_scores_codex":[0.9988388,0.00004618536,0.0001976486,0.0006474369,0.0001494685,0.0001204133],"domain_scores_gemma":[0.999578,0.00008280057,0.00003999516,0.0002012179,0.00004773257,0.00005026833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001940256,0.002179847,0.003041041,0.0003445951,0.002013206,0.00005569085,0.0009776652,0.0001327256,0.1910226,0.001034495,0.6646531,0.1343509],"study_design_scores_gemma":[0.001969042,0.003587296,0.1604597,0.0004319331,0.005421067,0.00001863234,0.05604611,0.03647069,0.007900156,0.04337306,0.6787372,0.005585125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896765,0.0001397337,9.519418e-7,0.006203094,0.0003275891,0.0007227249,0.001599258,0.0001319711,0.001198215],"genre_scores_gemma":[0.9758869,0.00001872352,0.0001344397,0.0005401874,0.0005471351,0.00008924669,0.005324892,8.823687e-7,0.01745754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1831225,"threshold_uncertainty_score":0.9988559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112609754995242,"score_gpt":0.3326654203918589,"score_spread":0.2214044448923347,"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."}}