{"id":"W4295279326","doi":"10.1016/j.toxlet.2022.07.761","title":"LP-19 An Initiative to better communicate, integrate and evolve good practice on the application of mechanistic constructs in hazard and risk assessment","year":2022,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hazard; Risk analysis (engineering); Hazard analysis; Risk assessment; Computer science; Business; Biology; Engineering; Computer security; Reliability engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004160605,0.000111763,0.000287934,0.0002728624,0.0003464466,0.00005209928,0.0005174635,0.00004282089,0.0001167105],"category_scores_gemma":[0.00161381,0.00007827365,0.00003243047,0.0006098184,0.0002819924,0.0001636875,0.0003583441,0.0004844407,0.000007417472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009104654,"about_ca_system_score_gemma":0.00005812724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002041332,"about_ca_topic_score_gemma":0.0005360597,"domain_scores_codex":[0.9957265,0.002913557,0.0004214266,0.0003677045,0.0004157035,0.0001551593],"domain_scores_gemma":[0.9929242,0.005929843,0.0004022588,0.0005787618,0.00008404846,0.00008090304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002207127,0.001754059,0.3219357,0.00001901951,0.0009919166,0.0001424446,0.03880696,0.01421611,0.08808693,0.2024688,0.01279914,0.3165718],"study_design_scores_gemma":[0.003773569,0.004369908,0.5869642,0.00002760151,0.0006845523,0.0001263577,0.1006069,0.08723088,0.001782315,0.1854547,0.02790521,0.001073769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938125,0.00002279329,0.008924657,0.096071,0.00004163866,0.0003582788,0.00005057399,0.000007742671,0.0007108409],"genre_scores_gemma":[0.969116,0.00005540606,0.004786353,0.02589342,0.000007776853,0.0001237379,0.000006421769,0.000005583684,0.000005281406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.315498,"threshold_uncertainty_score":0.3191907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06376155678246713,"score_gpt":0.3858143958988955,"score_spread":0.3220528391164283,"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."}}