{"id":"W6908223007","doi":"10.25549/whit-c170-112120","title":"Soldier &amp; sailor, Los Angeles, Calif., 1942","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":"Envelope (radar); Studio; Reproduction; Order (exchange)","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":[0.0004374111,0.001650393,0.0008981696,0.002807172,0.0009406203,0.002599556,0.001381964,0.0009388783,0.1561637],"category_scores_gemma":[0.002975638,0.000520685,0.0005952691,0.006494386,0.0003418237,0.001480931,0.001281313,0.001410917,0.2542959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516653,"about_ca_system_score_gemma":0.001564985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06604902,"about_ca_topic_score_gemma":0.138542,"domain_scores_codex":[0.9995236,0.00005326594,0.00005471601,0.0001633557,0.000119132,0.00008588021],"domain_scores_gemma":[0.9986653,0.0002425402,0.0001503696,0.0002586124,0.0005386652,0.0001445052],"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":[0.00001737736,0.000004780589,0.0003953502,0.000135719,0.000003905802,0.000005602385,0.000009228424,0.00003330777,0.00001535427,0.0001274975,0.997894,0.001357965],"study_design_scores_gemma":[0.00005022222,0.000006287883,0.005781927,0.000236219,0.000007890503,0.00002014905,0.0001424592,0.0000820321,0.00009169932,0.0002513488,0.9933188,0.00001099225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001059588,0.00008509685,0.00001949227,0.00005107538,0.00002636532,0.000002830795,0.9974511,0.0001209115,0.00213709],"genre_scores_gemma":[0.0005059566,0.0001212489,0.00009616013,0.00002934934,0.00001321188,0.00002670222,0.9953881,0.00005228864,0.003767077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1561637,"threshold_uncertainty_score":0.5224196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044291425610271,"score_gpt":0.1739959322237986,"score_spread":0.1635530179676959,"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."}}