{"id":"W4324087288","doi":"10.1111/cag.12834","title":"Canada's Ocean Supercluster initiative: A national policy in regional clothing?","year":2023,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Supercluster (genetic); Regional policy; Government (linguistics); Regional development; Intervention (counseling); Business; Regional science; Political science; Economic geography; Economics; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00334452,0.000254271,0.0003430564,0.0007162659,0.00740253,0.005813394,0.001687793,0.003320343,0.008064104],"category_scores_gemma":[0.007583217,0.0002720672,0.0004499944,0.001210166,0.004812323,0.001733107,0.003306589,0.003358851,0.0003272038],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07975613,"about_ca_system_score_gemma":0.2294615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9781296,"about_ca_topic_score_gemma":0.9885926,"domain_scores_codex":[0.9962031,0.000465504,0.00007231175,0.0003256247,0.001046278,0.001887135],"domain_scores_gemma":[0.9924486,0.001076853,0.0003350024,0.0002787476,0.002674577,0.00318619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001392615,0.000083105,0.01973845,0.0003728158,0.00007318836,0.0005564899,0.006907878,0.002831949,0.001664649,0.6737692,0.2445945,0.04926861],"study_design_scores_gemma":[0.00007064806,0.00007380069,0.04360436,0.0006693853,0.00008112627,0.00008607897,0.01157126,0.002290105,0.001268699,0.01813941,0.9220118,0.0001333849],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1628363,0.009248497,0.003901734,0.5285988,0.001177341,0.000187786,0.001324253,0.0002583072,0.292467],"genre_scores_gemma":[0.8486108,0.003335959,0.003974783,0.07435064,0.0001551896,0.0000926014,0.0003910392,0.00006281202,0.06902604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9202439,"threshold_uncertainty_score":0.5786739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245148218929691,"score_gpt":0.2629121830183551,"score_spread":0.238397361125386,"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."}}