{"id":"W2781968723","doi":"10.55016/ojs/sppp.v10i1.43052","title":"Big and Little Feet Provincial Profiles: Alberta","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003807552,0.0005454489,0.0002973719,0.004162212,0.00264141,0.002764024,0.0008944243,0.0004981668,0.06011759],"category_scores_gemma":[0.0009927162,0.0003176705,0.0003635778,0.01249287,0.0003600892,0.0006181052,0.00129938,0.0006675689,0.01380089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01367504,"about_ca_system_score_gemma":0.02277411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9632006,"about_ca_topic_score_gemma":0.9842252,"domain_scores_codex":[0.9993711,0.00001906954,0.00002060156,0.00008548349,0.0002994551,0.0002042414],"domain_scores_gemma":[0.9986468,0.00004462712,0.00005931045,0.00007184275,0.0008983694,0.0002790892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000225284,0.00003617244,0.04180169,0.0003304251,0.00002677145,0.0003763255,0.001528866,0.001147146,0.001119171,0.008840843,0.8440551,0.1005123],"study_design_scores_gemma":[0.00001352775,0.00001484174,0.121496,0.000145502,0.0000124199,0.0001235181,0.002532342,0.0006647715,0.000470849,0.0007758159,0.8737062,0.00004432687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04722558,0.002291404,0.001729697,0.00199831,0.0007221354,0.0002884672,0.5550196,0.001448925,0.3892758],"genre_scores_gemma":[0.131673,0.003626582,0.007086467,0.0008316271,0.0001647473,0.0002172088,0.3818519,0.0009510235,0.4735975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06011759,"threshold_uncertainty_score":0.2011133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08577043815125905,"score_gpt":0.4075335706007032,"score_spread":0.3217631324494442,"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."}}