{"id":"W4379407443","doi":"10.2139/ssrn.4469055","title":"Laboratory Safety and Research Productivity","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Business; Engineering; Economics; Economic growth","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":[0.009322701,0.0005455295,0.0006190473,0.005356366,0.001130453,0.008387712,0.001483957,0.001850326,0.04411957],"category_scores_gemma":[0.05186993,0.0003484084,0.001103148,0.002876431,0.001868371,0.003799102,0.00360584,0.00151302,0.01411014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004026945,"about_ca_system_score_gemma":0.00458871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002469281,"about_ca_topic_score_gemma":0.001643514,"domain_scores_codex":[0.9880601,0.003617613,0.0006846751,0.001446682,0.004737134,0.001453899],"domain_scores_gemma":[0.8731548,0.05486159,0.02243743,0.009598562,0.0196667,0.02028091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002797164,0.003671749,0.5077313,0.0004263744,0.0007065266,0.001014284,0.001521584,0.009721288,0.0101331,0.04027394,0.02956713,0.3924356],"study_design_scores_gemma":[0.0003769597,0.00283704,0.7944545,0.0003207161,0.0004365386,0.0020321,0.005835883,0.01430587,0.01333754,0.07782354,0.08807471,0.000164522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6513616,0.005661258,0.02893766,0.01357779,0.000767845,0.0002778872,0.002712711,0.001133673,0.2955695],"genre_scores_gemma":[0.9590962,0.001030085,0.001672359,0.0006274038,0.0004817129,0.00006296652,0.0007142856,0.000116626,0.03619841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04411957,"threshold_uncertainty_score":0.1475946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403037596683976,"score_gpt":0.2809227994694879,"score_spread":0.2668924235026481,"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."}}