{"id":"W6945861346","doi":"10.25549/examiner-c44-110769","title":"Santa Barbara fiesta, 1960","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shot (pellet); George (robot); Dance; Economic Justice; Governor","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":[0.0003711027,0.001899883,0.00131164,0.003001636,0.0009168027,0.003620135,0.0016988,0.0009527702,0.1437408],"category_scores_gemma":[0.00280655,0.0007445407,0.0008308958,0.008082047,0.000271442,0.001504796,0.001200008,0.001308441,0.214548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532584,"about_ca_system_score_gemma":0.002096717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08467519,"about_ca_topic_score_gemma":0.1658596,"domain_scores_codex":[0.9995404,0.00004531821,0.00004037911,0.0001996167,0.0001105662,0.00006371181],"domain_scores_gemma":[0.9992257,0.00014035,0.00007515646,0.0001902845,0.0002666373,0.0001018327],"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":[0.00002199579,0.000004529679,0.0002877576,0.0002379738,0.00001188003,0.000009166676,0.00000949165,0.0000581596,0.00003498701,0.0002369869,0.9965496,0.002537383],"study_design_scores_gemma":[0.00004241469,0.00000395585,0.002850702,0.0002549769,0.00001452366,0.00002681577,0.00004422096,0.00008769163,0.0001091278,0.0003737654,0.9961815,0.00001046135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007411417,0.0001599364,0.00003705686,0.0000479501,0.00001761608,0.00000255565,0.9969844,0.0004387354,0.002237608],"genre_scores_gemma":[0.0003121024,0.0001930902,0.0001693295,0.00002991562,0.000005700133,0.00001882084,0.9965581,0.0001134584,0.002599476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1437408,"threshold_uncertainty_score":0.4808609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004152191765253119,"score_gpt":0.1623802204404293,"score_spread":0.1582280286751762,"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."}}