{"id":"W6904885867","doi":"10.14288/1.0426906","title":"Auto Fire Engines, Vancouver, B.C.","year":2023,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Focus (optics); Reflection (computer programming); Window (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001750126,0.0008180057,0.0003048236,0.0006789057,0.003970171,0.002267901,0.0005255407,0.0008884697,0.5523549],"category_scores_gemma":[0.0003680382,0.0004158449,0.0002712433,0.001047279,0.0003861205,0.0004621969,0.0006416643,0.001559249,0.2605693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002322561,"about_ca_system_score_gemma":0.002798014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4030494,"about_ca_topic_score_gemma":0.8371863,"domain_scores_codex":[0.999801,0.000007285677,0.000004044145,0.00004202834,0.00009661123,0.00004898083],"domain_scores_gemma":[0.9995916,0.00001812647,0.00000567233,0.00001624887,0.0002797279,0.00008858507],"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":[0.0000584584,0.00003444648,0.0009149314,0.00007899637,0.000004135073,0.0002012119,0.00008122023,0.0001348152,0.001061781,0.0008107934,0.9389028,0.05771644],"study_design_scores_gemma":[0.00001272102,0.00002131163,0.009214676,0.000113977,0.000005622891,0.0001429549,0.0004412814,0.0002004582,0.0004472662,0.0001873883,0.9892026,0.00000981897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002478622,0.0007301971,0.00027194,0.0006568675,0.0004431818,0.00003618785,0.002470688,0.0003588376,0.9925535],"genre_scores_gemma":[0.003680698,0.0004075491,0.0001783288,0.0001050583,0.000009522589,0.000005449554,0.0005605406,0.00007834588,0.9949746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5969506,"threshold_uncertainty_score":0.8014068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007813797583700549,"score_gpt":0.1740272368555509,"score_spread":0.1662134392718504,"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."}}