{"id":"W2744415849","doi":"10.5194/esd-2017-72","title":"Systematic Correlation Matrix Evaluation (SCoMaE) – Abottom-up, natural science-based approach to identify Indicators","year":2017,"lang":"en","type":"article","venue":"","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Robustness (evolution); Consistency (knowledge bases); Forcing (mathematics); Data mining; Correlation; Matrix (chemical analysis); Econometrics; Artificial intelligence; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0544429,0.002997371,0.001950793,0.01526978,0.002163247,0.00587897,0.001812415,0.001233436,0.004678433],"category_scores_gemma":[0.1460461,0.0008069078,0.002217153,0.008089956,0.004353585,0.004052336,0.005668521,0.002417729,0.0008285302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003484722,"about_ca_system_score_gemma":0.009913744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00388429,"about_ca_topic_score_gemma":0.005503715,"domain_scores_codex":[0.9326077,0.04588549,0.003947376,0.003621715,0.01323899,0.0006987496],"domain_scores_gemma":[0.8576744,0.08425971,0.00970211,0.01214768,0.03488467,0.00133138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003409526,0.0003537592,0.01697144,0.003414106,0.0009135746,0.0003244581,0.003434651,0.05116532,0.006156093,0.3262465,0.009837053,0.5808422],"study_design_scores_gemma":[0.0001938196,0.001018392,0.01562974,0.00230086,0.000433936,0.00045688,0.00339872,0.3698203,0.01422555,0.5307651,0.06132855,0.0004282102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006258205,0.0004637137,0.9860569,0.0004194583,0.00008432774,0.0008061061,0.0003049022,0.000297919,0.005308424],"genre_scores_gemma":[0.1165936,0.0002814691,0.8799619,0.0001523939,0.00004309788,0.00158327,0.000468017,0.0001028779,0.0008132888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0544429,"threshold_uncertainty_score":0.287925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840299903709644,"score_gpt":0.3240514836888752,"score_spread":0.3056484846517788,"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."}}