{"id":"W2962691753","doi":"","title":"The Space in Between: Healthy Public Policy Development in Canada’s Provincial North","year":2019,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Public space; Public administration; Policy development; Political science; Regional science; Public policy; Geography; Economic growth; Computer science; Engineering; Economics; Architectural engineering; Law","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":[0.004142195,0.0003253366,0.0004487592,0.00126886,0.03551647,0.009933557,0.002618528,0.001755669,0.004207249],"category_scores_gemma":[0.007150321,0.0006074755,0.0004888055,0.003629776,0.007776624,0.001740236,0.004818505,0.003041387,0.0002644831],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2922484,"about_ca_system_score_gemma":0.5488297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979588,"about_ca_topic_score_gemma":0.9994389,"domain_scores_codex":[0.9936897,0.001218246,0.0001323848,0.0004954895,0.00110512,0.003359108],"domain_scores_gemma":[0.9886204,0.002027117,0.0003857175,0.0003119913,0.002338036,0.006316706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005390926,0.0004375465,0.1538707,0.001870313,0.0001607132,0.008079764,0.2459657,0.006685172,0.004033028,0.147467,0.1823919,0.2484991],"study_design_scores_gemma":[0.00006345635,0.0001132687,0.1743084,0.001033187,0.00007205099,0.000318359,0.3668127,0.002166429,0.00111322,0.0100112,0.4437672,0.0002204346],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.654757,0.0113358,0.00365754,0.1814319,0.0006562738,0.0006779532,0.001871803,0.000250092,0.1453617],"genre_scores_gemma":[0.9588473,0.002602425,0.004470138,0.008788892,0.00003338673,0.000149181,0.0003542064,0.00005363181,0.02470082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2922484,"threshold_uncertainty_score":0.8208916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04257144676111192,"score_gpt":0.3976238384221448,"score_spread":0.3550523916610329,"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."}}