{"id":"W2182470728","doi":"","title":"ClaimsPro Offers Deepest Sympathies and Full Support to Lac Mégantic","year":2013,"lang":"en","type":"article","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Liability; Subrogation; Tragedy (event); Business; Law; History; Political science; Sociology; Archaeology","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":[0.001524691,0.0005559959,0.0002825839,0.0009885762,0.008736654,0.005165983,0.001007844,0.001838498,0.1407162],"category_scores_gemma":[0.005153006,0.0003289711,0.0002646027,0.0007897034,0.001563626,0.001491097,0.002303398,0.00270853,0.0152018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01459244,"about_ca_system_score_gemma":0.02471162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.669557,"about_ca_topic_score_gemma":0.8586416,"domain_scores_codex":[0.9980372,0.0001525745,0.00003289463,0.0001603753,0.00111167,0.000505383],"domain_scores_gemma":[0.9913662,0.0005244606,0.0002403048,0.0002988928,0.004798917,0.002771188],"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":[0.00005001994,0.00002300137,0.00235536,0.00003372896,0.000004638566,0.000388901,0.0006828561,0.00005830605,0.0005565201,0.002232076,0.9736874,0.01992727],"study_design_scores_gemma":[0.0000115184,0.0000193421,0.006173841,0.00006539449,0.00000435034,0.0002169377,0.002699369,0.0002617771,0.0002532065,0.0002401579,0.9900357,0.00001841459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0316457,0.004083602,0.001705585,0.1877569,0.002775641,0.0001299437,0.002972217,0.001591051,0.7673393],"genre_scores_gemma":[0.1436758,0.001484284,0.001330287,0.01679362,0.0006405891,0.00004225184,0.001626413,0.0005561868,0.8338505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.330443,"threshold_uncertainty_score":0.664778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111293722943551,"score_gpt":0.2663760551964408,"score_spread":0.2552466829020857,"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."}}