{"id":"W6962611515","doi":"10.17632/y86kx94c2w.1","title":"Replication code for \"Prescribing Power and Equitable Access to Care: Evidence from Pharmacists in Ontario, Canada\"","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Construct (python library); Data access; Replicate; Power (physics); Replication (statistics)","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":[0.004411198,0.001154714,0.001057298,0.002543873,0.00239669,0.002093516,0.002704066,0.001035133,0.1053521],"category_scores_gemma":[0.03072377,0.0008958218,0.002059197,0.005186954,0.0007449772,0.0007187959,0.001887974,0.001572964,0.0266437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01435363,"about_ca_system_score_gemma":0.04343995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9270087,"about_ca_topic_score_gemma":0.9545689,"domain_scores_codex":[0.9978129,0.0003568431,0.00024892,0.0004094968,0.000780416,0.0003913558],"domain_scores_gemma":[0.9834571,0.00271298,0.001010336,0.004007116,0.007737388,0.001075014],"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":[0.0001111166,0.0000179867,0.005139711,0.0002512309,0.00008401791,0.00002885949,0.000125193,0.0005988525,0.0000521304,0.0008158371,0.9883184,0.004456429],"study_design_scores_gemma":[0.001404895,0.00004032475,0.07141772,0.0008634122,0.0002149836,0.0001069861,0.0004241795,0.001826448,0.0004588649,0.002374353,0.9207474,0.0001204072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009340898,0.0000631893,0.0007662425,0.000269863,0.00007921135,0.0002690912,0.994593,0.0005883914,0.002436952],"genre_scores_gemma":[0.009162764,0.0001555156,0.004232135,0.0002157554,0.00004227447,0.002470035,0.9737509,0.0005127426,0.009457887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1053521,"threshold_uncertainty_score":0.352438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2004404655656045,"score_gpt":0.3270755078598228,"score_spread":0.1266350422942182,"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."}}