{"id":"W6945305603","doi":"10.25549/one-c4-4446","title":"Weathers photograph album 12, 1988-1992","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photography; Line drawings; Feature (linguistics); Subject (documents)","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":[0.0003897553,0.001736953,0.0009774747,0.003917174,0.0006284305,0.0019633,0.001413501,0.0007307596,0.1561886],"category_scores_gemma":[0.002529193,0.0006493299,0.0004742257,0.01017598,0.0001957887,0.001370358,0.0008367064,0.001213985,0.2048084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970315,"about_ca_system_score_gemma":0.002347561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1308672,"about_ca_topic_score_gemma":0.2277663,"domain_scores_codex":[0.9995844,0.00002827535,0.00003755998,0.0001187071,0.0001624204,0.00006868364],"domain_scores_gemma":[0.9987009,0.0001660601,0.0001651211,0.0001890991,0.0006165166,0.0001623802],"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":[0.00001000799,0.00000339102,0.0001647889,0.00007835451,0.000002182786,0.000003508385,0.000003249824,0.00004197492,0.00001307782,0.00008406051,0.9986807,0.0009148807],"study_design_scores_gemma":[0.00005822818,0.000003892229,0.004207082,0.00009152736,0.000006882093,0.000009387535,0.00003833102,0.000129852,0.000105205,0.0002330733,0.9951077,0.000008863952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004735306,0.0000363107,0.00001489563,0.00002708212,0.00001132647,0.000003784083,0.9982516,0.000117072,0.001490599],"genre_scores_gemma":[0.0002286826,0.00007267264,0.00008719736,0.00001588339,0.000008018174,0.00002417664,0.9964485,0.00006040538,0.003054376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1561886,"threshold_uncertainty_score":0.5225029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0075602825990261,"score_gpt":0.1707317596377937,"score_spread":0.1631714770387676,"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."}}