{"id":"W6904794294","doi":"10.14288/1.0361391","title":"Auto No. 2 Fire Hall, Vancouver, B.C.","year":2017,"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":"Fire investigation; Firefighting; Reflection (computer programming); Camouflage","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":[0.0002546915,0.0008775046,0.000411181,0.0009433302,0.003912299,0.003238115,0.000691816,0.001184773,0.7702295],"category_scores_gemma":[0.0007629886,0.0004919605,0.0002426744,0.0008839445,0.0004611893,0.0008620178,0.00102768,0.001766552,0.476617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173352,"about_ca_system_score_gemma":0.002612886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2402398,"about_ca_topic_score_gemma":0.6678984,"domain_scores_codex":[0.9997498,0.00001115241,0.000004101002,0.00002930844,0.000129765,0.00007585303],"domain_scores_gemma":[0.9993016,0.00003034032,0.00001490447,0.00002806487,0.0003481095,0.000277083],"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":[0.00005076803,0.00002156752,0.0003247504,0.00003244076,0.000001159829,0.00005622875,0.0000604484,0.00004447297,0.0001814676,0.0006693836,0.9807125,0.01784475],"study_design_scores_gemma":[0.000009053532,0.00001351191,0.002189119,0.00006549613,0.000001969433,0.00005518605,0.0003210906,0.0001191819,0.0001678799,0.0001440193,0.9969061,0.000007417732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008984173,0.0002433373,0.0001785393,0.0005381494,0.0003407522,0.00003433751,0.002654314,0.0005200675,0.9945921],"genre_scores_gemma":[0.002409205,0.0001435672,0.00006101825,0.00006625579,0.00002227346,0.00000543264,0.0008190495,0.0001763643,0.9962968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7702295,"threshold_uncertainty_score":0.4776829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00876371486346055,"score_gpt":0.1840600096967966,"score_spread":0.175296294833336,"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."}}