{"id":"W7039462082","doi":"","title":"A Machine learning and spatial analysis approach of religious affiliation and suicide rates in Toronto","year":2024,"lang":"en","type":"article","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Fusible alloy; Proteogenomics; Triacetin","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":[0.001381985,0.0004300212,0.0004760859,0.002800314,0.001259622,0.001516858,0.001032081,0.0006136997,0.00300107],"category_scores_gemma":[0.007510396,0.0003063824,0.001058821,0.003964757,0.0008075809,0.0005026971,0.001527253,0.0009002622,0.0003605924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009232284,"about_ca_system_score_gemma":0.004667492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8901379,"about_ca_topic_score_gemma":0.8652066,"domain_scores_codex":[0.9992834,0.0003613613,0.00004356902,0.0001313786,0.00007973943,0.0001006153],"domain_scores_gemma":[0.9965898,0.001777921,0.0004676638,0.0002175368,0.0005771337,0.0003700432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003118069,0.00007260795,0.9135359,0.0001010153,0.0005294185,0.0004334137,0.002131654,0.03180259,0.0003386957,0.004287501,0.006236529,0.04021892],"study_design_scores_gemma":[0.00002598001,0.00007039076,0.7968124,0.0001143121,0.0002495667,0.0002026717,0.004806099,0.1902057,0.0002977008,0.003306514,0.003844767,0.00006389536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809217,0.001513416,0.006591873,0.001967083,0.00003949946,0.00004038707,0.005738115,0.00008100498,0.003106846],"genre_scores_gemma":[0.9950621,0.0002861628,0.002241655,0.0000175537,0.000008797832,0.00001613454,0.001578457,0.00001111584,0.000778125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098621,"threshold_uncertainty_score":0.2210181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317969276855347,"score_gpt":0.2203188901283997,"score_spread":0.2071391973598462,"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."}}