{"id":"W6942403288","doi":"10.14288/1.0423527","title":"[Lord Strathcona and passenger train]","year":2023,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Image (mathematics); Control (management); Passenger transport; Key (lock)","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":[0.0004377382,0.0005549581,0.0002488351,0.0005020332,0.004150353,0.003356462,0.0005922593,0.00331921,0.252849],"category_scores_gemma":[0.001633192,0.0003538314,0.0002685333,0.0005016924,0.0009428549,0.001563383,0.001664251,0.00445879,0.08923545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163869,"about_ca_system_score_gemma":0.00381394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1286011,"about_ca_topic_score_gemma":0.2980328,"domain_scores_codex":[0.9994831,0.00004975404,0.00001491891,0.00007766466,0.0002139192,0.0001606319],"domain_scores_gemma":[0.9994289,0.00003949815,0.00002144453,0.00002478841,0.0002331457,0.0002522061],"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":[0.000002738376,0.000001083734,0.00002681694,0.000006854423,2.37257e-7,0.00002773464,0.00004113929,0.000002887352,0.00001907123,0.0007933725,0.9949148,0.004163332],"study_design_scores_gemma":[0.00000101736,0.000002131316,0.0001890969,0.00001873426,3.38426e-7,0.00003729335,0.0000955505,0.000002977466,0.000006708551,0.00004485089,0.9995995,0.000001700017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007596619,0.009276252,0.0003237057,0.09850232,0.03611887,0.00006831515,0.00070436,0.0005243719,0.8537222],"genre_scores_gemma":[0.002988007,0.001573113,0.000092696,0.02305712,0.001544997,0.00001843829,0.0001222953,0.0000834624,0.9705199],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8713989,"threshold_uncertainty_score":0.8458641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864298587784295,"score_gpt":0.2080048481399328,"score_spread":0.1893618622620899,"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."}}