{"id":"W1885558089","doi":"10.1080/312703003289","title":"I<scp>NFLUENCE OF A</scp>N<scp>EW</scp>P<scp>ROVINCE-WIDE</scp>T<scp>RAUMA</scp>S<scp>YSTEM ON</scp>M<scp>OTOR</scp>V<scp>EHICLE</scp>T<scp>RAUMA</scp>C<scp>ARE AND</scp>O<scp>UTCOMES</scp>","year":2004,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004595205,0.0002560516,0.0001735931,0.0005442573,0.0004880471,0.001543687,0.0002537179,0.0007379206,0.02221707],"category_scores_gemma":[0.003975848,0.0001385619,0.0003746838,0.0002804299,0.0005452489,0.0004681011,0.0005742441,0.000693662,0.002670179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000657216,"about_ca_system_score_gemma":0.001320173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009222127,"about_ca_topic_score_gemma":0.01687001,"domain_scores_codex":[0.9994271,0.0001067012,0.00002704601,0.00009364888,0.000188246,0.0001573533],"domain_scores_gemma":[0.9954977,0.001762196,0.0008234889,0.000286438,0.0007394605,0.0008907899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007703208,0.002305229,0.5103605,0.0005379016,0.0007958629,0.00324824,0.001575556,0.01241753,0.140671,0.01446317,0.05742671,0.2484951],"study_design_scores_gemma":[0.0001300994,0.001785124,0.9028361,0.000235756,0.0003194619,0.001722276,0.00289236,0.0104571,0.04438555,0.006253673,0.02889352,0.0000888988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520529,0.0006742558,0.004056662,0.00434825,0.0003256118,0.00008601534,0.002896041,0.0002657998,0.1352944],"genre_scores_gemma":[0.9876453,0.0002380189,0.0007792052,0.0003413612,0.00007389935,0.00003998973,0.0005654041,0.00004155784,0.01027516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02221707,"threshold_uncertainty_score":0.07432348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009532134865956275,"score_gpt":0.2174682455177507,"score_spread":0.2079361106517944,"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."}}