{"id":"W7098729436","doi":"","title":"Canadian Industrial Energy End-Use Data and Analysis","year":2000,"lang":"en","type":"article","venue":"","topic":"Nursing Roles and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Production (economics); Field (mathematics); Energy consumption; Work (physics)","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":[0.002344537,0.00120155,0.0007559562,0.01980098,0.004477362,0.002410267,0.002481221,0.0005757827,0.01810496],"category_scores_gemma":[0.01012872,0.0005975902,0.001264097,0.03083696,0.000624823,0.0006225194,0.001716306,0.0008740582,0.003527977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04685028,"about_ca_system_score_gemma":0.1108987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970288,"about_ca_topic_score_gemma":0.9980993,"domain_scores_codex":[0.9935649,0.0002666134,0.0003694989,0.0002992013,0.004336033,0.001163668],"domain_scores_gemma":[0.9841685,0.0007447889,0.0006497435,0.0007278509,0.01312201,0.0005871843],"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":[0.0007573898,0.0004289555,0.4054531,0.001476874,0.000313187,0.0005101601,0.003613442,0.006001286,0.001317759,0.01597096,0.394701,0.1694559],"study_design_scores_gemma":[0.00004042236,0.00005206268,0.6440715,0.0002137462,0.00009385663,0.00008452767,0.002345833,0.001856848,0.00155306,0.0004519556,0.3491381,0.00009807121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.106751,0.0007244878,0.003748463,0.0006706668,0.00007785033,0.001464203,0.8229288,0.0005296948,0.06310485],"genre_scores_gemma":[0.2077179,0.001767085,0.01376032,0.0003770957,0.00005150077,0.003514831,0.6630741,0.0003744682,0.1093627],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04685028,"threshold_uncertainty_score":0.3399242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1677742122185861,"score_gpt":0.4328012250067573,"score_spread":0.2650270127881713,"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."}}