{"id":"W607578812","doi":"","title":"Assessing Vancouver after Facts, Accusations, Shades of Truth","year":2010,"lang":"en","type":"article","venue":"Syracuse University Libraries (Syracuse University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"False accusation; History; Political science; Law","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":[0.004296851,0.0002084963,0.0003209732,0.006250982,0.006529533,0.006556688,0.000573852,0.001557024,0.007451162],"category_scores_gemma":[0.05168743,0.0003216073,0.0002396224,0.004137214,0.00183171,0.003136554,0.002683594,0.001643127,0.0008152592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007222315,"about_ca_system_score_gemma":0.00839275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5400054,"about_ca_topic_score_gemma":0.7991381,"domain_scores_codex":[0.9958729,0.0006704455,0.0002988711,0.0002816197,0.002495944,0.0003802031],"domain_scores_gemma":[0.9603741,0.01474009,0.005308704,0.001187174,0.01643168,0.001958403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009393388,0.0003158446,0.5657572,0.0003986522,0.0001089814,0.001109024,0.2287289,0.0007211934,0.003070927,0.01550583,0.02353657,0.1598076],"study_design_scores_gemma":[0.0000352754,0.0002020771,0.6229536,0.0004896396,0.0001785254,0.0004333457,0.2857117,0.00239079,0.002679196,0.003736133,0.08104263,0.0001471414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338595,0.0003953902,0.0005666086,0.001081425,0.00009072197,0.0001448198,0.0005864627,0.00005817352,0.06321686],"genre_scores_gemma":[0.985809,0.0003690071,0.001583659,0.000233394,0.00004641795,0.00005744252,0.0006659575,0.00003408521,0.01120092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4599946,"threshold_uncertainty_score":0.9254072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097080102291661,"score_gpt":0.1961891688878661,"score_spread":0.1852183678649495,"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."}}