{"id":"W7008245156","doi":"","title":"Canada – Quebéc Province – Montréal – Dominion Square","year":2013,"lang":"en","type":"article","venue":"Digital USD (University of San Diego)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dominion; Square (algebra); Government (linguistics); Population; Altitude (triangle)","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":[0.0006162528,0.0009107045,0.0006061379,0.002747659,0.005586687,0.004822405,0.001095769,0.001045109,0.2529338],"category_scores_gemma":[0.002532383,0.0006060618,0.0004919354,0.00829869,0.00103827,0.001149639,0.001096087,0.001311001,0.02811421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04537294,"about_ca_system_score_gemma":0.07912797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934993,"about_ca_topic_score_gemma":0.9966784,"domain_scores_codex":[0.9988664,0.00006333541,0.00003508009,0.000213712,0.000509287,0.0003120994],"domain_scores_gemma":[0.9973558,0.0001156454,0.0001053576,0.0001159342,0.00179139,0.0005159196],"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":[0.00007933399,0.00003616231,0.005885998,0.0002302479,0.00003064758,0.0001421836,0.0002433415,0.0005103953,0.000324221,0.01642659,0.903026,0.07306483],"study_design_scores_gemma":[0.00002382267,0.000009463398,0.03187622,0.000123124,0.000007888571,0.00005736265,0.0002604724,0.0002795375,0.0002498818,0.000486677,0.9665979,0.00002761489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01372398,0.01292432,0.003019291,0.01022051,0.001361483,0.0005056394,0.1587439,0.001984816,0.797516],"genre_scores_gemma":[0.07135908,0.00450929,0.003188408,0.001025006,0.00008936407,0.0001693314,0.02165343,0.0005477067,0.8974585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2529338,"threshold_uncertainty_score":0.846148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005980198128458032,"score_gpt":0.1714873951786602,"score_spread":0.1655071970502022,"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."}}