{"id":"W3130093679","doi":"","title":"Government of Canada Vehicle Recalls Database API Wrapper [R package caRecall version 0.1.0]","year":2021,"lang":"en","type":"article","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Database; Government (linguistics); Computer science; World Wide Web; Business","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":[0.003462056,0.002596478,0.002507236,0.003284239,0.001236407,0.003679126,0.003766502,0.001004423,0.07918047],"category_scores_gemma":[0.01917955,0.001584804,0.002665946,0.004817432,0.0005962739,0.001151849,0.001773322,0.001331882,0.05587428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003905192,"about_ca_system_score_gemma":0.0174803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.617767,"about_ca_topic_score_gemma":0.6475124,"domain_scores_codex":[0.997847,0.0003362281,0.0001396787,0.0006038629,0.0008172099,0.0002560661],"domain_scores_gemma":[0.9910664,0.001603012,0.0006303671,0.001712717,0.004608121,0.0003793094],"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":[0.0003642644,0.00001913035,0.01406089,0.001337945,0.0009627923,0.00008886414,0.00008978268,0.002814985,0.0008499193,0.001758697,0.9555351,0.02211764],"study_design_scores_gemma":[0.0004123996,0.00005785929,0.03803872,0.0006127423,0.0008950861,0.0002297643,0.0001048264,0.008857353,0.005676129,0.004428132,0.9404433,0.0002436102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002759296,0.0008480428,0.01625803,0.0004975355,0.0002384192,0.0001352342,0.9000589,0.07025777,0.008946831],"genre_scores_gemma":[0.04452357,0.001685841,0.04307552,0.001186112,0.0001455328,0.0007629216,0.8242694,0.05768961,0.02666144],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.382233,"threshold_uncertainty_score":0.7689681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006525347698055147,"score_gpt":0.1806472648485535,"score_spread":0.1741219171504983,"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."}}