{"id":"W6973934138","doi":"10.57912/23861352.v1","title":"Greg Smith SFX Collection - Transportation - Vehicles 2","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Public transport; Data collection; Intersection (aeronautics); Race (biology); Intelligent transportation system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000472417,0.001378848,0.0008508044,0.003517215,0.00162473,0.002888834,0.00104397,0.001174151,0.8375831],"category_scores_gemma":[0.001882814,0.0006992209,0.0005696613,0.003371364,0.0003274878,0.001959295,0.001733818,0.001206127,0.8277916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000910993,"about_ca_system_score_gemma":0.001561301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074089,"about_ca_topic_score_gemma":0.03677023,"domain_scores_codex":[0.9994544,0.00003834485,0.00002109261,0.0001272447,0.0002943965,0.00006453269],"domain_scores_gemma":[0.9985954,0.0001303789,0.00005464425,0.0001606428,0.0008454822,0.0002134625],"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":[0.00001141198,0.000009135382,0.00009763412,0.00003141119,8.598392e-7,0.000008689345,0.00001089648,0.0000294663,0.00004941462,0.0004549174,0.9753028,0.02399325],"study_design_scores_gemma":[0.000004603315,0.000005307932,0.0004025579,0.00003493183,0.000001186235,0.00001313296,0.00001842691,0.00005881307,0.0001077608,0.0002170652,0.9991322,0.000004002111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005618462,0.0003862879,0.001291562,0.0008215984,0.0006566074,0.0001507998,0.05805821,0.00515308,0.93292],"genre_scores_gemma":[0.000971082,0.0003429324,0.0007127673,0.000163992,0.0001077697,0.00005221637,0.02207928,0.001521528,0.9740485],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1624169,"threshold_uncertainty_score":0.231668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05059991419101995,"score_gpt":0.2764436783057947,"score_spread":0.2258437641147748,"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."}}