{"id":"W4406040978","doi":"10.1515/9781773851907-006","title":"4 Creative Yukon: Finding Data to Tell the Cultural Economy Story","year":2021,"lang":"en","type":"book-chapter","venue":"University of Calgary Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Economy; Economics","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":[0.002411569,0.0006517504,0.0004461433,0.003087692,0.006718899,0.01467883,0.001104735,0.002627163,0.01922319],"category_scores_gemma":[0.01026113,0.0005974344,0.000309926,0.008836344,0.01082181,0.01190065,0.003124746,0.00338425,0.002213459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01606327,"about_ca_system_score_gemma":0.03153351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6056282,"about_ca_topic_score_gemma":0.7641078,"domain_scores_codex":[0.9983886,0.0006160135,0.00006520534,0.0001609658,0.0004986773,0.0002704886],"domain_scores_gemma":[0.9959304,0.002715668,0.00009583157,0.0004486694,0.0006425056,0.0001669187],"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":[0.00003077612,0.00001288344,0.001377313,0.000213282,0.00001637539,0.0002514417,0.01757097,0.0003535511,0.0001810615,0.6706514,0.2266599,0.08268116],"study_design_scores_gemma":[0.000004858745,0.000003382457,0.001153853,0.0003691336,0.000009670152,0.0000738632,0.01333683,0.0003000186,0.0002879181,0.1168028,0.8676363,0.00002132456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01052695,0.02865007,0.01274587,0.09118971,0.001609012,0.0001004755,0.003528697,0.0004432797,0.8512059],"genre_scores_gemma":[0.288012,0.03119798,0.02387004,0.01648951,0.0003753332,0.0002203999,0.00298395,0.00121635,0.6356345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3943718,"threshold_uncertainty_score":0.7933887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07418480751913584,"score_gpt":0.2388288324370854,"score_spread":0.1646440249179495,"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."}}