{"id":"W6969418144","doi":"10.5683/sp3/h0wihx","title":"Replication Data and Code for: Canadian productivity growth: Stuck in the oil sands","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Replicate; Replication (statistics); Productivity; Oil sands; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002074479,0.003162804,0.001826803,0.00587275,0.003079037,0.004356678,0.0048573,0.001817157,0.1356802],"category_scores_gemma":[0.01735066,0.001340584,0.002293323,0.01574029,0.0009325742,0.001532964,0.002115578,0.002744668,0.08883561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01230299,"about_ca_system_score_gemma":0.03128956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9028414,"about_ca_topic_score_gemma":0.9365231,"domain_scores_codex":[0.9976876,0.0001990787,0.0001486533,0.0006201831,0.0007837479,0.0005606683],"domain_scores_gemma":[0.9903182,0.00127436,0.0004331368,0.001942814,0.005235753,0.0007957174],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002920018,0.00000550405,0.0005457522,0.000166214,0.00002051515,0.000006992762,0.00002223232,0.0001781977,0.00002896952,0.0002822027,0.9977197,0.0009944176],"study_design_scores_gemma":[0.0003216347,0.000008369742,0.009774705,0.0002608197,0.00006384601,0.00003109244,0.0001332012,0.0004553557,0.0003313094,0.001148705,0.9873888,0.00008207736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007508928,0.00002832992,0.00005401102,0.00006008322,0.00002453961,0.0000105347,0.998605,0.000393137,0.0007493101],"genre_scores_gemma":[0.0006044445,0.00004113398,0.000331579,0.00004794237,0.000008945361,0.0000853742,0.9971449,0.000271705,0.001464081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9979255,"threshold_uncertainty_score":0.4538955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08084128288754834,"score_gpt":0.3319264206386124,"score_spread":0.2510851377510641,"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."}}