{"id":"W6988112359","doi":"","title":"What we're hearing: lighting scientists and designers exchange information about lighting and health","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information exchange; Government (linguistics); Information system; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.05757861,0.0008815302,0.000775357,0.004268026,0.02801767,0.0387614,0.002171355,0.01320986,0.01097337],"category_scores_gemma":[0.1047119,0.001226835,0.001005053,0.003238602,0.02786578,0.03113391,0.01835121,0.01367617,0.002894227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009952897,"about_ca_system_score_gemma":0.01810958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04527934,"about_ca_topic_score_gemma":0.04733979,"domain_scores_codex":[0.9394225,0.04595478,0.001652597,0.001979624,0.006907103,0.004083411],"domain_scores_gemma":[0.8561664,0.09898251,0.008239338,0.00868239,0.01808847,0.009840801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009447402,0.000092296,0.009290424,0.0002092603,0.00009069912,0.0005616203,0.8471102,0.00010143,0.0007800889,0.02941023,0.06164606,0.05061311],"study_design_scores_gemma":[0.00003133294,0.000049078,0.003271561,0.0004269698,0.00006609787,0.0003176815,0.6627702,0.0001605467,0.0003901856,0.02122849,0.3111798,0.0001079225],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.102229,0.008970749,0.01471499,0.7565123,0.005506295,0.000103905,0.0001941774,0.0003406255,0.1114279],"genre_scores_gemma":[0.8177804,0.004682861,0.006385564,0.1284166,0.001888316,0.0001373122,0.0001428802,0.0004139681,0.04015213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05757861,"threshold_uncertainty_score":0.3045084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07667464074417113,"score_gpt":0.4058990078592081,"score_spread":0.329224367115037,"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."}}