{"id":"W2182211404","doi":"","title":"A Study on Facilitating Factors and Barriers to Addressing Cumulative Effects","year":2012,"lang":"en","type":"article","venue":"","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Legitimacy; Salience (neuroscience); Variety (cybernetics); Business; Cumulative effects; Political science; Politics; Public relations; Public economics; Computer science; Economics","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":[0.04331994,0.0006759533,0.0006780299,0.003656741,0.00497279,0.00709317,0.001820968,0.002256967,0.007627686],"category_scores_gemma":[0.1546337,0.0005388075,0.001117593,0.002304929,0.007808996,0.009765165,0.008471834,0.002846227,0.0002955325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007096522,"about_ca_system_score_gemma":0.01333772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934106,"about_ca_topic_score_gemma":0.006273082,"domain_scores_codex":[0.9717233,0.01752642,0.001427472,0.001527971,0.004953779,0.002841075],"domain_scores_gemma":[0.6816492,0.2789548,0.01316359,0.008915716,0.01372291,0.003593738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005847025,0.001168113,0.128516,0.005013939,0.0002848026,0.004035011,0.1786081,0.009468069,0.005935413,0.4060584,0.0028868,0.2574406],"study_design_scores_gemma":[0.0002853224,0.001839262,0.1334029,0.007438575,0.001060985,0.003082955,0.372677,0.01902227,0.01397876,0.2631583,0.1837002,0.000353369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8058212,0.002081278,0.05122512,0.009138166,0.0001204192,0.001735209,0.0001503153,0.0001270988,0.1296012],"genre_scores_gemma":[0.992121,0.00049505,0.006037038,0.0001699002,0.00001918536,0.0002524037,0.00001964526,0.00001032025,0.0008753932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04331994,"threshold_uncertainty_score":0.2291005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289567997564647,"score_gpt":0.3444859063311376,"score_spread":0.3015902263554911,"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."}}