{"id":"W4310181375","doi":"10.3390/ijerph192315866","title":"Commentary: Zebrafish as a Model for Osteoporosis—An Approach to Accelerating Progress in Drug and Exercise-Based Treatment","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Osteoporosis; Psychological intervention; Medicine; Disease; Zebrafish; Intensive care medicine; Population; Drug discovery; Risk analysis (engineering); Physical therapy; Bioinformatics; Physical medicine and rehabilitation; Pathology; Psychiatry; Environmental health; Biology","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":[0.009862942,0.001739348,0.002145775,0.001398049,0.002719961,0.003878807,0.007824849,0.04212577,0.009954105],"category_scores_gemma":[0.03718751,0.000773455,0.002376208,0.0009563992,0.007355133,0.006884527,0.003089441,0.05228541,0.008809015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004038916,"about_ca_system_score_gemma":0.007628743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008421212,"about_ca_topic_score_gemma":0.01052604,"domain_scores_codex":[0.9937185,0.00196513,0.0006734722,0.0008232069,0.002414061,0.0004056064],"domain_scores_gemma":[0.9671754,0.01824422,0.001708948,0.0007856006,0.00915024,0.002935574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004061015,0.00001334368,0.00003336762,0.0002405912,0.00001485501,0.0002202042,0.00007764628,0.00005430922,0.0001989548,0.001662927,0.9916141,0.005829092],"study_design_scores_gemma":[0.00005099186,0.00005958557,0.0001681893,0.0006048994,0.00003586292,0.000388862,0.000209828,0.0001474972,0.0003196101,0.00536649,0.9925926,0.00005565635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001271707,0.01066467,0.0005931824,0.8173133,0.1693938,0.00003949532,0.0001749216,0.0001391818,0.001554164],"genre_scores_gemma":[0.001514307,0.009956238,0.0008765743,0.8546317,0.1239936,0.00007043765,0.00005637941,0.0000592518,0.008841406],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04212577,"threshold_uncertainty_score":0.05216086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06364522023927238,"score_gpt":0.3845824988611699,"score_spread":0.3209372786218975,"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."}}