{"id":"W7131302380","doi":"10.25549/examiner-m17466","title":"Los Angeles Examiner Negatives Collection, 1950-1961","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical examiner; Negative; Evening; Morning; Quarter (Canadian coin)","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":[0.001131023,0.001721779,0.001314499,0.00728906,0.001349977,0.003397858,0.002462128,0.001330397,0.07470429],"category_scores_gemma":[0.007314478,0.0006402517,0.0008395447,0.01256889,0.0004588116,0.001908304,0.001757202,0.001623647,0.1496868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026033,"about_ca_system_score_gemma":0.003963605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1078032,"about_ca_topic_score_gemma":0.1431671,"domain_scores_codex":[0.9982125,0.0002013154,0.0002431804,0.00052544,0.0005567427,0.0002607654],"domain_scores_gemma":[0.9953707,0.0006007964,0.0004964989,0.0005655997,0.002605482,0.0003609711],"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":[0.00002482279,0.00001213135,0.0009157442,0.0001775871,0.000008358311,0.00001158567,0.00001598157,0.00004438666,0.00002705581,0.0001602853,0.9970194,0.001582727],"study_design_scores_gemma":[0.00008860228,0.00001172799,0.01096997,0.0002541714,0.0000185676,0.00003015872,0.0002093291,0.0001336646,0.00015287,0.0001827933,0.9879279,0.00002037273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001685533,0.00007298523,0.00002129965,0.00005211769,0.00002147865,0.000008934458,0.9984468,0.00008790436,0.001119959],"genre_scores_gemma":[0.0002747926,0.00005517762,0.00006732432,0.00002138474,0.00001051462,0.00005415995,0.9980141,0.00002435246,0.00147824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1078032,"threshold_uncertainty_score":0.2499108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008346981845797791,"score_gpt":0.1685467647614784,"score_spread":0.1601997829156806,"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."}}