{"id":"W6950867084","doi":"10.5683/sp3/idx7sh","title":"OBRC data schema: Animal death events","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Documentation; Schema (genetic algorithms); Raw data; Data collection; Data quality; Conceptual schema; Sample (material)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745337,0.001580106,0.001178071,0.00412288,0.001081182,0.002819619,0.003088922,0.001931618,0.102782],"category_scores_gemma":[0.006120068,0.0008905487,0.001203938,0.00829521,0.0004891479,0.00252845,0.002140492,0.001709784,0.1086209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004432774,"about_ca_system_score_gemma":0.005341627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1535136,"about_ca_topic_score_gemma":0.2276099,"domain_scores_codex":[0.9982393,0.0002158021,0.0003051141,0.0004657233,0.0005493502,0.0002247566],"domain_scores_gemma":[0.9954442,0.0006986235,0.000407575,0.001027911,0.002027898,0.0003937444],"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":[0.00003871068,0.00001177678,0.0006982244,0.0003673476,0.00001196813,0.00001727871,0.00004340686,0.0001328312,0.0001240129,0.0009548817,0.9958698,0.001729793],"study_design_scores_gemma":[0.000033652,0.000004516693,0.002396257,0.0001724559,0.000009984635,0.00004311551,0.0001096888,0.0001218664,0.0002114391,0.000491516,0.9963887,0.00001702808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005356457,0.00002264822,0.00009671165,0.00004779668,0.0000176325,0.00001207806,0.9981742,0.0002410264,0.001334354],"genre_scores_gemma":[0.0002300936,0.00003350447,0.0002876623,0.00003886175,0.000003155594,0.00003612916,0.9985852,0.00007396873,0.000711374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1535136,"threshold_uncertainty_score":0.34384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07834681255798916,"score_gpt":0.3489047710170257,"score_spread":0.2705579584590366,"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."}}