{"id":"W4386131818","doi":"10.59962/9780774854832","title":"A Narrow Vision","year":2007,"lang":"en","type":"book","venue":"University of British Columbia Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer vision; Artificial intelligence; Optometry; Computer science; Medicine","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":[0.002824061,0.0007320187,0.0004355311,0.001279215,0.01514271,0.01686116,0.001482417,0.0042557,0.05685537],"category_scores_gemma":[0.005306982,0.000353726,0.000351347,0.0009498562,0.009396922,0.009649019,0.007957496,0.008387518,0.02036884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01625067,"about_ca_system_score_gemma":0.02566603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1507741,"about_ca_topic_score_gemma":0.1729969,"domain_scores_codex":[0.9957997,0.000800529,0.00007629812,0.0006979246,0.001443495,0.001181945],"domain_scores_gemma":[0.99669,0.0002363638,0.00008233948,0.0002075795,0.001381791,0.0014019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002014513,0.00002196062,0.000246138,0.00004498672,0.000002398593,0.00009232269,0.005516879,0.00003413494,0.0001891997,0.3854136,0.5708269,0.03759127],"study_design_scores_gemma":[0.000001370027,0.000004039372,0.00008733233,0.00005329758,6.868207e-7,0.00005391956,0.001976428,0.00001463597,0.00002046413,0.00757851,0.9902046,0.0000047703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001795783,0.008585236,0.002573682,0.07974483,0.00650428,0.00004920802,0.0001643872,0.0001764326,0.9004062],"genre_scores_gemma":[0.05157774,0.006861174,0.001810077,0.04114994,0.00149053,0.00006423674,0.0002370138,0.0002528095,0.8965564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8492259,"threshold_uncertainty_score":0.2997929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011569332671505,"score_gpt":0.1902309967061854,"score_spread":0.1801153033794703,"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."}}