{"id":"W2883525055","doi":"10.2486/indhealth.2018-0075","title":"Metabolic energy cost of workers in agriculture, construction, manufacturing, tourism, and transportation industries","year":2018,"lang":"en","type":"review","venue":"Industrial Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Commission","keywords":"Agriculture; Tourism; Productivity; Business; Work (physics); Occupational safety and health; Agricultural economics; Operations management; Medicine; Economics; Economic growth; Engineering; Geography","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":[0.0007990741,0.0004199733,0.0006707924,0.001592466,0.0002635371,0.001031525,0.0004246508,0.000390723,0.002037534],"category_scores_gemma":[0.002103675,0.0001948245,0.00123835,0.001811198,0.0002097889,0.000500004,0.0006311379,0.0003136314,0.0002544452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004711914,"about_ca_system_score_gemma":0.0003795193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006058611,"about_ca_topic_score_gemma":0.01025518,"domain_scores_codex":[0.9993211,0.0002014772,0.0001276214,0.00009894131,0.0001897946,0.00006108214],"domain_scores_gemma":[0.9990645,0.0003985825,0.0003246196,0.00003605447,0.0001402034,0.00003606155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001732394,0.0002609475,0.5027218,0.04052397,0.006368127,0.001048054,0.001617618,0.001950254,0.004094966,0.001315877,0.0035099,0.4348561],"study_design_scores_gemma":[0.00002787624,0.0005126895,0.9700385,0.005631241,0.001849081,0.001400457,0.001617931,0.00034839,0.0009075924,0.0008161841,0.01679737,0.00005270075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5541962,0.4332541,0.001600544,0.0006282824,0.0002143438,0.00006416708,0.004033511,0.00002049327,0.005988319],"genre_scores_gemma":[0.8304847,0.1626835,0.001935954,0.0002470322,0.0001098864,0.00009506453,0.00282045,0.00001388291,0.001609492],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006058611,"threshold_uncertainty_score":0.01204669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276130848898608,"score_gpt":0.3462301531314743,"score_spread":0.2186170682416134,"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."}}