{"id":"W4385865390","doi":"10.59962/9780774851459-009","title":"Policy Formulation: Identifying the Canadian Resource and Environmental Policy Subsystem","year":2007,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Environmental policy; Environmental planning; Environmental resource management; Business; Operations research; Computer science; Environmental science; Engineering","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":[0.00335861,0.001182804,0.0006581967,0.006843671,0.01309875,0.01473029,0.002320121,0.002580759,0.01235006],"category_scores_gemma":[0.01010314,0.0007417356,0.0007788987,0.01508881,0.008290399,0.004713615,0.002702444,0.003175089,0.000813016],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2441358,"about_ca_system_score_gemma":0.4613803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963797,"about_ca_topic_score_gemma":0.9976845,"domain_scores_codex":[0.9961691,0.0005770249,0.00007727631,0.0003312037,0.00157748,0.001267756],"domain_scores_gemma":[0.9968875,0.0005507663,0.0001098434,0.0001495056,0.001892047,0.000410343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001091125,0.00001533136,0.002401612,0.0001010396,0.00001370934,0.00006627905,0.002168661,0.004393955,0.0001573146,0.8815453,0.06496532,0.04416056],"study_design_scores_gemma":[0.00001429894,0.00001184264,0.0183367,0.000549498,0.00009009308,0.00007457263,0.01321755,0.02468786,0.0007068352,0.3033642,0.6388411,0.0001055845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02616075,0.006602094,0.02172428,0.0697689,0.0003532823,0.0003517711,0.002489246,0.0002720721,0.8722777],"genre_scores_gemma":[0.7394419,0.01551765,0.05788339,0.006985675,0.0002076735,0.0003884163,0.00259277,0.0002972614,0.1766852],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2441358,"threshold_uncertainty_score":0.8766953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248712393130114,"score_gpt":0.2177926933496348,"score_spread":0.1929214540366234,"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."}}