{"id":"W2978878812","doi":"10.7939/r3-2h24-1m78","title":"Final Report for Creative Sentencing: Protecting Worker Safety in Alberta by Enhancing Field Level Hazard Assessments and Training for Ground Hazards Associated with Tailings Facilities, Dams, and Systems","year":2019,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tailings; Training (meteorology); Hazard; Hazard analysis; Environmental science; Field (mathematics); Engineering; Environmental resource management; Meteorology; Geography; Reliability engineering; Ecology","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":[0.009405456,0.0007583899,0.000327848,0.001380401,0.007648754,0.004228314,0.002753598,0.005474179,0.02448068],"category_scores_gemma":[0.007120933,0.0005731595,0.0006662948,0.0008374466,0.001105599,0.0006725746,0.001525578,0.003582399,0.004005301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01799249,"about_ca_system_score_gemma":0.125267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8818011,"about_ca_topic_score_gemma":0.93953,"domain_scores_codex":[0.9926515,0.0003223351,0.000178266,0.0003306913,0.004960512,0.001556757],"domain_scores_gemma":[0.9872054,0.0007108494,0.000158566,0.0003059481,0.009528705,0.002090581],"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":[0.0006400438,0.0006827092,0.01450752,0.0003036208,0.0000662367,0.001800875,0.002670447,0.002171925,0.01211982,0.003692969,0.8965315,0.06481233],"study_design_scores_gemma":[0.0003461784,0.0007099537,0.1210067,0.0002027111,0.000177123,0.0002814494,0.01041709,0.001482066,0.01061372,0.001070549,0.8535268,0.0001655521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.235983,0.001984363,0.01858822,0.1114483,0.01941741,0.02350697,0.05139128,0.004243907,0.5334365],"genre_scores_gemma":[0.09888276,0.0007594072,0.01257877,0.01493879,0.0004956966,0.001503715,0.01120646,0.0002064438,0.859428],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1181989,"threshold_uncertainty_score":0.23779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07753224555459015,"score_gpt":0.3560895385457114,"score_spread":0.2785572929911213,"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."}}