{"id":"W2101511566","doi":"10.1142/s1464333213500221","title":"WHAT INFLUENCES VALUED ECOSYSTEM COMPONENT SELECTION FOR CUMULATIVE EFFECTS IN IMPACT ASSESSMENT?","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Assessment Policy and Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Selection (genetic algorithm); Cumulative effects; Component (thermodynamics); Residual; Process (computing); Computer science; Biology; Ecology; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03360033,0.0003340616,0.0004644323,0.002226686,0.001552795,0.004813029,0.0009752208,0.0005504049,0.00304172],"category_scores_gemma":[0.1126731,0.000255085,0.0005958493,0.002830521,0.002418251,0.00410265,0.002055635,0.001123837,0.0003931854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004514837,"about_ca_system_score_gemma":0.005557212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03284236,"about_ca_topic_score_gemma":0.07244339,"domain_scores_codex":[0.9773701,0.01495282,0.0009350553,0.0009989196,0.004363809,0.001379419],"domain_scores_gemma":[0.9096342,0.06444189,0.006184706,0.003222551,0.01443873,0.002078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004936284,0.0003782214,0.6345381,0.0007611093,0.0003559245,0.0005089068,0.01337592,0.01378728,0.003325129,0.0346489,0.005371112,0.2924558],"study_design_scores_gemma":[0.00005563855,0.0006583548,0.8436531,0.001076435,0.0002986697,0.0004160819,0.04525549,0.02787212,0.004375804,0.05237923,0.02374669,0.0002124668],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031076,0.0008722868,0.03964567,0.0035071,0.0001263802,0.0003829053,0.0004352289,0.0001125959,0.05181013],"genre_scores_gemma":[0.9915814,0.0001548628,0.007403628,0.0001267569,0.00001290879,0.00005280198,0.00007699821,0.00003022341,0.0005603954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03360033,"threshold_uncertainty_score":0.1776977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034455324332658,"score_gpt":0.32695536755705,"score_spread":0.3166108143137235,"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."}}