{"id":"W1760243743","doi":"","title":"Participation “pathetic” in hospital-based energy-saving program","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Service (business); Computer science; Health care; Health services; Medicine; Business; Marketing; Environmental health; Political science","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":[0.002811598,0.0002186532,0.0001332204,0.0005606338,0.00456494,0.001492336,0.001154701,0.001229364,0.02312899],"category_scores_gemma":[0.005204159,0.000179596,0.0002812119,0.000610732,0.001317787,0.0007413749,0.0059285,0.001733446,0.001666202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004420453,"about_ca_system_score_gemma":0.02785235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01624388,"about_ca_topic_score_gemma":0.06927433,"domain_scores_codex":[0.9962525,0.002025014,0.00007284957,0.0001544801,0.0003996415,0.001095653],"domain_scores_gemma":[0.9959959,0.0001886966,0.0001401526,0.0001130958,0.0003152239,0.003246971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001387146,0.01240038,0.07580665,0.0007811483,0.00007598766,0.001245018,0.008950719,0.0008016076,0.003387568,0.04548555,0.2858199,0.5638584],"study_design_scores_gemma":[0.001176344,0.004542871,0.2272479,0.0009490019,0.0001052782,0.001188814,0.02976584,0.001223409,0.003109462,0.01747708,0.7131043,0.0001097189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.521742,0.001139955,0.007262622,0.2142558,0.001951345,0.004702574,0.0009914192,0.0004854728,0.2474688],"genre_scores_gemma":[0.8840684,0.001075651,0.008850017,0.03115233,0.0004821898,0.002626804,0.0009800971,0.00007589058,0.07068871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02312899,"threshold_uncertainty_score":0.07737416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132855748729742,"score_gpt":0.2271481918363824,"score_spread":0.2138626169634082,"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."}}