{"id":"W7024302906","doi":"","title":"The Safe Environment for Every Kid Model: Analyzing Demographics Related to Higher Risks of Child Maltreatment in High-risk Pediatric Population","year":2021,"lang":"en","type":"article","venue":"Journal of Bioresource Management","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Occupational safety and health; Population; Public health; Suicide prevention; Injury prevention; Poison control; Demographics; Feeling","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":[0.00110153,0.0004028624,0.0003119668,0.001639281,0.0006720044,0.0007255497,0.0006656249,0.0003976033,0.002732554],"category_scores_gemma":[0.003140406,0.0003401505,0.0008725309,0.001515122,0.0002238006,0.0008709087,0.001137232,0.001092642,0.0004086448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005656271,"about_ca_system_score_gemma":0.00094801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669039,"about_ca_topic_score_gemma":0.03173801,"domain_scores_codex":[0.9994214,0.0001804462,0.00007774813,0.0001017773,0.0001094244,0.0001092941],"domain_scores_gemma":[0.9983978,0.0001538848,0.0008829203,0.0001237068,0.0001744868,0.0002672921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001471535,0.00003305455,0.9985257,0.000006998611,0.00001378992,0.00001893234,0.0001087338,0.00001852364,0.00001741606,0.000007623716,0.0003051984,0.0009294255],"study_design_scores_gemma":[0.000002905839,0.00005700651,0.9983778,0.00001194314,0.00001684929,0.0001001556,0.0008336878,0.0002778107,0.0000279123,0.00001356817,0.0002775771,0.000002778725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964503,0.0001319799,0.0002958131,0.0001598662,0.00001258749,0.0001037507,0.002074644,0.00001447001,0.0007565704],"genre_scores_gemma":[0.9950451,0.0002108059,0.001482973,0.00006978284,0.0000176817,0.0002577051,0.002456518,0.000009713205,0.0004497734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669039,"threshold_uncertainty_score":0.0331865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964207170865343,"score_gpt":0.2322043822992294,"score_spread":0.212562310590576,"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."}}