{"id":"W6894254466","doi":"10.5683/sp3/jfxxeu","title":"Replication Data and Code for: Carbon tax pass-through in Canadian retail gasoline markets","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Replication (statistics); Replicate; Gasoline; Code (set theory); Data file","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00146174,0.001942049,0.001309184,0.005992903,0.002258541,0.003489311,0.003667432,0.00143581,0.1111542],"category_scores_gemma":[0.01242981,0.0009714234,0.001645732,0.01433561,0.0006618198,0.001130569,0.001627755,0.002064188,0.05008641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01332463,"about_ca_system_score_gemma":0.03110539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9411232,"about_ca_topic_score_gemma":0.9638779,"domain_scores_codex":[0.9981017,0.0001363587,0.0001291873,0.0004003382,0.000729622,0.0005028049],"domain_scores_gemma":[0.9918578,0.0007613344,0.0004879046,0.001159826,0.005159085,0.0005739953],"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":[0.00003269541,0.000008909034,0.001236795,0.0001477709,0.00001997598,0.000009451835,0.00002551703,0.0002910264,0.00002650186,0.0005046262,0.9962363,0.001460496],"study_design_scores_gemma":[0.0002669815,0.00001050155,0.02173259,0.0002992755,0.00005873425,0.00003528135,0.0001879245,0.000775453,0.0003644216,0.0009820586,0.9752019,0.00008470744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001328872,0.0000247716,0.00003669544,0.00005212765,0.00001433214,0.00001229612,0.9986404,0.000163927,0.0009226871],"genre_scores_gemma":[0.00115741,0.00004896781,0.0003077461,0.000045748,0.000007500332,0.00008953642,0.9956898,0.0001344298,0.002518797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1111542,"threshold_uncertainty_score":0.3718479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05293469000700336,"score_gpt":0.3147464397857047,"score_spread":0.2618117497787013,"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."}}