{"id":"W4386517672","doi":"10.1515/9781772122770-004","title":"3. Images and Frames of Alberta","year":2017,"lang":"en","type":"book-chapter","venue":"University of Alberta Press eBooks","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science","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":[0.0003148922,0.0007584225,0.0001995395,0.001633447,0.008310212,0.008629284,0.001024827,0.001823812,0.05534023],"category_scores_gemma":[0.0006335301,0.0002357379,0.0002262438,0.001963574,0.006180562,0.002156708,0.002015577,0.002426414,0.006702568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0223069,"about_ca_system_score_gemma":0.01164172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7381796,"about_ca_topic_score_gemma":0.8525814,"domain_scores_codex":[0.999668,0.00005504287,0.000005226134,0.00004397383,0.0001000203,0.0001277856],"domain_scores_gemma":[0.9998758,0.00002276664,0.000005696611,0.00001156848,0.00004973639,0.00003443457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001719868,0.000007269561,0.0001086806,0.00004964817,0.000001277364,0.0001322742,0.01235341,0.0001000749,0.0001005944,0.8155205,0.132858,0.03875099],"study_design_scores_gemma":[0.000002013853,0.000002120682,0.0002361809,0.00008393155,0.000001901903,0.00003967702,0.003839363,0.00003201239,0.00005008108,0.01948933,0.9762182,0.000005109278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009696472,0.003606007,0.0003533,0.002347537,0.0005015468,0.000009384977,0.00005840832,0.00003611224,0.9921181],"genre_scores_gemma":[0.05099989,0.003976993,0.0008741419,0.0009760782,0.0001479256,0.00002327413,0.00008341712,0.0001008892,0.9428173],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2618204,"threshold_uncertainty_score":0.5267246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528101146547101,"score_gpt":0.2852642375922539,"score_spread":0.2499832261267829,"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."}}