{"id":"W4214503331","doi":"10.26226/morressier.5ab8f565d462b8029238d7b8","title":"REDUCING DOOR-TO-NEEDLE TIMES ACROSS 11 RURAL HOSPITALS IN CANADA","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Geography","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":[0.0008608006,0.0003305004,0.0003621981,0.001199826,0.003080877,0.001351237,0.001330999,0.000517936,0.00405015],"category_scores_gemma":[0.005637405,0.0004012496,0.0004671153,0.002882029,0.0009058805,0.0004268419,0.001474069,0.0006391878,0.0002982961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04194117,"about_ca_system_score_gemma":0.07830448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9827951,"about_ca_topic_score_gemma":0.9929305,"domain_scores_codex":[0.9978799,0.0003228243,0.0001033414,0.0002688674,0.0004603683,0.0009646978],"domain_scores_gemma":[0.991104,0.000604841,0.001678762,0.0001286888,0.001911267,0.004572434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004116754,0.0003500746,0.9328031,0.0003933687,0.0001466029,0.0003371123,0.00221392,0.001921399,0.0006190742,0.0005812019,0.01378449,0.04643785],"study_design_scores_gemma":[0.00006479776,0.0002481781,0.9883459,0.0001527172,0.00003294688,0.0001041244,0.004802385,0.001583345,0.0001034758,0.0001219612,0.004409873,0.0000302156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863647,0.001288785,0.0005664639,0.003934115,0.00005286713,0.0002869714,0.002908797,0.00006085723,0.004536265],"genre_scores_gemma":[0.9927497,0.001366813,0.001040754,0.001089775,0.00002918494,0.0001004103,0.001031203,0.00002166796,0.002570498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04194117,"threshold_uncertainty_score":0.3043059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603995715572076,"score_gpt":0.3161471359928354,"score_spread":0.3001071788371146,"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."}}