{"id":"W7008403504","doi":"","title":"Canada – British Columbia Province – Vancouver – From Mount Pleasant – In Stanley Park","year":2013,"lang":"en","type":"article","venue":"Digital USD (University of San Diego)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mount; Urban park; Population; Sinkhole","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":[0.0001484723,0.0004169098,0.000273131,0.002460138,0.005673622,0.003138759,0.0006469289,0.0004545147,0.09979185],"category_scores_gemma":[0.0006651179,0.0003365571,0.0001932629,0.008219712,0.0006240461,0.0007305301,0.001029972,0.0009875774,0.01430381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0191816,"about_ca_system_score_gemma":0.02838554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886312,"about_ca_topic_score_gemma":0.99841,"domain_scores_codex":[0.9997062,0.00001088026,0.00001093358,0.00005072751,0.0001095264,0.0001117125],"domain_scores_gemma":[0.9994165,0.00001357846,0.00001697186,0.00001960097,0.0003921117,0.0001414096],"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":[0.00008268155,0.00002055427,0.01000778,0.0003129623,0.00002060302,0.000316263,0.002206431,0.0001761711,0.0003390959,0.004734354,0.8790503,0.1027328],"study_design_scores_gemma":[0.000006800411,0.000004235078,0.05260694,0.0001421211,0.000005688532,0.00007931163,0.002911239,0.00004042171,0.0001780266,0.0002508514,0.9437616,0.00001287157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05359903,0.01377955,0.0007995601,0.006962268,0.001370263,0.0002196877,0.1364387,0.0006917973,0.7861391],"genre_scores_gemma":[0.1351742,0.005513626,0.001606875,0.0008269141,0.00007580231,0.00006832694,0.03128752,0.0004146016,0.8250321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09979185,"threshold_uncertainty_score":0.333837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003845545094081005,"score_gpt":0.1387281418186805,"score_spread":0.1348825967245995,"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."}}