{"id":"W2153120804","doi":"","title":"Jersey Mace for conformation","year":2000,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mace; Table (database); Biology; Geography; Computer science; Medicine; Database; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003727015,0.0007504502,0.001118625,0.00434555,0.0009923072,0.00259529,0.002992789,0.0007281799,0.4834754],"category_scores_gemma":[0.01005626,0.001191451,0.0007081051,0.00471635,0.0002231536,0.003075004,0.002292588,0.001594755,0.3101231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009859857,"about_ca_system_score_gemma":0.001822755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008510088,"about_ca_topic_score_gemma":0.02583613,"domain_scores_codex":[0.9981253,0.0002275084,0.0002173701,0.0004058421,0.0008663202,0.0001576231],"domain_scores_gemma":[0.9931918,0.0009411917,0.0004437674,0.00299818,0.001939351,0.0004856981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001344305,0.00005356989,0.001834346,0.0001895879,0.0000228465,0.00007584141,0.0001299835,0.0001450553,0.001289009,0.005209462,0.9112208,0.07969504],"study_design_scores_gemma":[0.0000271307,0.00001168801,0.002281656,0.00004236873,0.00001290082,0.00009221883,0.00001896224,0.0003030893,0.000569802,0.001556637,0.9950659,0.00001758645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003474977,0.0005053981,0.03361942,0.001308614,0.0006679132,0.0005364247,0.6589652,0.04830183,0.2526203],"genre_scores_gemma":[0.01082035,0.000664979,0.07171039,0.0008833121,0.0002727754,0.0008709593,0.6561925,0.02099046,0.2375943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4834754,"threshold_uncertainty_score":0.7367597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924658432482622,"score_gpt":0.3059001699754006,"score_spread":0.2566535856505744,"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."}}