{"id":"W6960622307","doi":"10.1371/journal.pone.0008669.g001","title":"Hourly distribution of assault injuries in Toronto.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Poison control; Probability distribution; Field (mathematics)","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":[0.00008087597,0.0001821661,0.00009385628,0.0009906476,0.0007450613,0.0003918478,0.0003549623,0.0002624374,0.01175238],"category_scores_gemma":[0.0006452232,0.0001234867,0.0001180299,0.001481769,0.0002830736,0.000157457,0.0005656155,0.0002801933,0.0009763751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003846157,"about_ca_system_score_gemma":0.002060244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8827157,"about_ca_topic_score_gemma":0.9691212,"domain_scores_codex":[0.9998945,0.000009041561,0.000004678343,0.00002097076,0.00003514347,0.00003563751],"domain_scores_gemma":[0.9995444,0.00003992273,0.0001111418,0.00002250467,0.0001242549,0.0001576706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004336392,0.00003488769,0.8855428,0.0002212403,0.0001032185,0.0008892541,0.008315885,0.001427694,0.0032448,0.00198935,0.05748767,0.04030952],"study_design_scores_gemma":[0.000001454176,0.000008139241,0.9933611,0.00001320653,0.000003479804,0.00005540857,0.0012641,0.0001263256,0.00007212444,0.00002363351,0.005066331,0.000004562323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8723561,0.000725812,0.0005129067,0.0005199655,0.00004530668,0.00004281939,0.08738123,0.0001316976,0.03828404],"genre_scores_gemma":[0.9677218,0.0004114609,0.000351293,0.00003613874,0.00001077448,0.00001507943,0.01361312,0.00001763529,0.01782274],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1172843,"threshold_uncertainty_score":0.23595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822474768298271,"score_gpt":0.2560761502286772,"score_spread":0.2378514025456945,"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."}}