{"id":"W4399525737","doi":"10.32614/cran.package.carecall","title":"caRecall: Government of Canada Vehicle Recalls Database API Wrapper","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Government (linguistics); Computer science; World Wide Web","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":[0.0009580052,0.003220566,0.001822278,0.00515187,0.001763159,0.002964752,0.004688892,0.002007776,0.03135738],"category_scores_gemma":[0.004969948,0.000913109,0.001602115,0.009134295,0.0006843755,0.001805313,0.002012724,0.002135574,0.06885477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008004501,"about_ca_system_score_gemma":0.01025272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7526721,"about_ca_topic_score_gemma":0.8417307,"domain_scores_codex":[0.9984151,0.0001326679,0.0001160396,0.0004002292,0.0005923907,0.0003435577],"domain_scores_gemma":[0.9965904,0.0002318264,0.0001803442,0.0006867398,0.002019346,0.0002914612],"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":[0.00005235029,0.00001865393,0.001021357,0.0002356301,0.0000221287,0.00001719464,0.0000195973,0.0002666159,0.00009176169,0.0002408097,0.9957713,0.00224262],"study_design_scores_gemma":[0.0001018246,0.00001611732,0.009678573,0.0002563079,0.00003443168,0.00005512503,0.0001529221,0.001132615,0.0006170482,0.000527507,0.9873639,0.00006362594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001865448,0.00006484595,0.00007995159,0.00004022723,0.00002025225,0.00001514382,0.9980931,0.0006322922,0.0008676507],"genre_scores_gemma":[0.0002984737,0.00003168251,0.0001739115,0.00001780322,0.000002609777,0.00002111688,0.9987773,0.00004741552,0.0006296542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2473279,"threshold_uncertainty_score":0.4975688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007458676596457939,"score_gpt":0.1923190329213068,"score_spread":0.1848603563248488,"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."}}