{"id":"W6887928990","doi":"10.17632/msfp8h2nb8.1","title":"Data File 1.15 with descriptives","year":2024,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Data collection; Multinational corporation; Investment (military); Pharmaceutical industry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002218975,0.001078603,0.0009764931,0.003993683,0.0009844932,0.00218831,0.001836809,0.001364253,0.2944577],"category_scores_gemma":[0.01515895,0.0008081806,0.0005940815,0.008529434,0.0003919882,0.00140518,0.001378318,0.001710952,0.1263872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950105,"about_ca_system_score_gemma":0.003660704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03020134,"about_ca_topic_score_gemma":0.03475955,"domain_scores_codex":[0.9983178,0.0002988686,0.000356234,0.0004119437,0.0003386273,0.0002766163],"domain_scores_gemma":[0.992007,0.002796911,0.0009153239,0.0009373909,0.002855452,0.0004879791],"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":[0.00004705692,0.00003879451,0.001645934,0.00035472,0.00001024531,0.0000172256,0.00004077108,0.0001832933,0.00003394941,0.0007019024,0.9950064,0.001919708],"study_design_scores_gemma":[0.0003377197,0.00003417275,0.01203912,0.0006147082,0.00002537881,0.00004844668,0.0004532976,0.0003025029,0.0001988715,0.00213565,0.9837715,0.00003872166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001180705,0.000009300898,0.00005780048,0.00004355401,0.000009498362,0.00003703763,0.9990878,0.00004093632,0.000596068],"genre_scores_gemma":[0.000917514,0.00005040327,0.0004845597,0.0001059804,0.00001262467,0.000814354,0.9952582,0.00006590423,0.002290564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7055423,"threshold_uncertainty_score":0.9850593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08292197931516887,"score_gpt":0.2867628703411219,"score_spread":0.203840891025953,"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."}}