{"id":"W7132249088","doi":"","title":"Sigurnost cestovnog prometa u Kanadi u razdoblju 2003. - 2017.","year":2020,"lang":"en","type":"dissertation","venue":"University of Split School of Medicine Repository","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Descriptive statistics; Cluster (spacecraft); Occupational safety and health; Road traffic; Poison control; Injury prevention; Statistical analysis","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":[0.0007563143,0.0003631503,0.0004508376,0.002003246,0.001066475,0.001683711,0.0007468004,0.0002828702,0.005146872],"category_scores_gemma":[0.001778596,0.0002168362,0.0005398176,0.003658631,0.0004544621,0.0005354811,0.0009725425,0.0008122834,0.001496975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00931072,"about_ca_system_score_gemma":0.02662566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8566479,"about_ca_topic_score_gemma":0.8970993,"domain_scores_codex":[0.9992396,0.00004066932,0.00007552846,0.00008168912,0.0002759914,0.0002865287],"domain_scores_gemma":[0.9987111,0.00005782289,0.0002954734,0.00002701756,0.0007183604,0.0001902117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005888722,0.0001661342,0.8063586,0.001709323,0.0001264632,0.0006049436,0.004927082,0.0005914838,0.0009864048,0.001239299,0.02226728,0.1604341],"study_design_scores_gemma":[0.00001570805,0.0001168086,0.9399189,0.0006016639,0.00008027439,0.000314841,0.005091981,0.0002199536,0.0005535727,0.00009956618,0.05296024,0.00002648741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8766162,0.01507206,0.001094363,0.002806868,0.0003703333,0.0002989405,0.07564647,0.0003803266,0.02771449],"genre_scores_gemma":[0.9435835,0.009196579,0.002070747,0.0004148272,0.00009279264,0.0001670191,0.02963995,0.00008777391,0.01474675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1433521,"threshold_uncertainty_score":0.2883926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006655450937238391,"score_gpt":0.1814318139809055,"score_spread":0.1747763630436672,"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."}}