{"id":"W104160504","doi":"10.1007/978-94-007-4044-0_6","title":"Distinctive Population Segments in Multi-mode Risk Management","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mode (computer interface); Geography; Business; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302266,0.0005061392,0.0005140861,0.0006764221,0.0004553366,0.001167712,0.0008094257,0.0008821431,0.007155786],"category_scores_gemma":[0.005067504,0.0003662746,0.0005442618,0.000978839,0.001249675,0.002638791,0.0009413057,0.00222472,0.0008022625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006120772,"about_ca_system_score_gemma":0.0003866638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008280571,"about_ca_topic_score_gemma":0.001024294,"domain_scores_codex":[0.9996372,0.0001742248,0.00001364565,0.00007585462,0.00007613604,0.00002283127],"domain_scores_gemma":[0.9981644,0.001516749,0.00006230526,0.0001259881,0.00009849802,0.00003203999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001186175,0.00002062263,0.0008387194,0.00005101453,0.00002031727,0.00005115514,0.0002858106,0.01256927,0.0002711428,0.9143252,0.003865311,0.06768965],"study_design_scores_gemma":[0.000001706545,0.000006059431,0.0003453706,0.00001672469,0.000006966492,0.00003977764,0.00004766348,0.03124923,0.0001200882,0.9639775,0.004183293,0.000005616465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008309411,0.001933051,0.9650487,0.001173492,0.0001111826,0.00002804672,0.00007350164,0.00009124514,0.02323132],"genre_scores_gemma":[0.5179058,0.005584094,0.4114048,0.0006974312,0.0008635636,0.0002729979,0.0003551906,0.0002161291,0.0627001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007155786,"threshold_uncertainty_score":0.02393848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553271555204005,"score_gpt":0.4109005536974871,"score_spread":0.2555733981770866,"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."}}