{"id":"W6889126956","doi":"10.25549/chs-m5314","title":"Ontario & San Antonio Heights mule car on Euclid Avenue, Ontario, ca.1887","year":2012,"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":"Las vegas; Limiting; Camouflage; Falling (accident)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001314833,0.001132726,0.001242308,0.0007059574,0.0003982411,0.0002856263,0.001878648,0.0009613014,0.05153828],"category_scores_gemma":[0.00002407091,0.001240014,0.0007758428,0.0003691864,0.0006354477,0.001143827,0.001110114,0.001624917,0.4265866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139665,"about_ca_system_score_gemma":0.001739468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2082784,"about_ca_topic_score_gemma":0.5329826,"domain_scores_codex":[0.9959675,0.0001392833,0.0005838583,0.001094106,0.001104217,0.001111048],"domain_scores_gemma":[0.9962371,0.0001404671,0.0009120631,0.00176021,0.00008680045,0.0008633686],"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":[0.0008840101,0.0007894251,0.01522762,0.0001336482,0.0004057168,0.0003070342,0.001012506,0.00001306129,0.000003750802,0.000002498518,0.9811315,0.00008925615],"study_design_scores_gemma":[0.001187429,0.0001162965,0.0002514643,0.0003912812,0.00035844,0.00002942344,0.000444725,7.564613e-7,0.00001259224,0.0001139377,0.9958519,0.001241752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04138286,0.00009070453,0.000002208394,0.00003455512,0.0002072815,0.000515856,0.9448273,0.0002300578,0.01270921],"genre_scores_gemma":[0.0009433172,0.00001252165,0.0001238483,0.0001205249,0.0002814293,7.085848e-7,0.9708356,0.0002137558,0.02746831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3750483,"threshold_uncertainty_score":0.999005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215932213258587,"score_gpt":0.1720510184907923,"score_spread":0.1598916963582064,"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."}}