{"id":"W4253422678","doi":"10.3152/147154606781765354","title":"Improving quality","year":2006,"lang":"en","type":"article","venue":"Impact Assessment and Project Appraisal","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dynamic Systems Analysis (Canada); University of Calgary","funders":"","keywords":"Quality (philosophy); Government (linguistics); Business; Risk analysis (engineering); Environmental impact assessment; Environmental planning; Environmental impact statement; Process management; Computer science; Political science; Law; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000502653,0.0002847785,0.0002644361,0.0000439708,0.000278698,0.0001651242,0.000161109,0.0001070178,0.0009578724],"category_scores_gemma":[0.00001902164,0.0002287436,0.0001205239,0.0002137371,0.0002314973,0.0006104122,0.000256722,0.0002149388,0.00006177231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279402,"about_ca_system_score_gemma":0.00005043221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0143345,"about_ca_topic_score_gemma":0.0002673289,"domain_scores_codex":[0.9981304,0.0001438527,0.0003302709,0.0003846101,0.0004884858,0.0005223419],"domain_scores_gemma":[0.9993413,0.0001416024,0.0001688994,0.0002165439,0.000004146934,0.0001275088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002777973,0.0002285381,0.9542769,0.00001025566,0.00002080583,0.000006058657,0.0001831256,0.00003137434,0.02125654,0.0005186123,0.002765939,0.02067414],"study_design_scores_gemma":[0.0007285477,0.0001945705,0.9948177,0.000004464695,0.00002314451,0.00001006356,0.0002397941,0.0006559717,0.0003235711,0.0005681117,0.002068156,0.0003659058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411123,0.00002949777,0.001232879,0.0001179393,0.0001681013,0.0003291963,0.0000227226,0.00009085176,0.05689656],"genre_scores_gemma":[0.9959508,0.00001146722,0.003095714,0.000079993,0.0001752831,0.00003297235,0.00004960356,0.00002623883,0.0005778835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05631868,"threshold_uncertainty_score":0.9999554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231168152036001,"score_gpt":0.4032500225856879,"score_spread":0.3809383410653279,"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."}}