{"id":"W7124144861","doi":"10.65109/fhqu2875","title":"Coalition detection and identification","year":2010,"lang":"","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Identification (biology); Key (lock)","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":[0.007313208,0.0009324049,0.002269559,0.004021424,0.002101728,0.003932361,0.003280962,0.002756279,0.005637678],"category_scores_gemma":[0.04351168,0.0009402032,0.001817404,0.002698776,0.003043768,0.005297614,0.00627599,0.003337338,0.001944147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168164,"about_ca_system_score_gemma":0.002086744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003211417,"about_ca_topic_score_gemma":0.002393245,"domain_scores_codex":[0.9934973,0.00258433,0.000303583,0.001673158,0.001383376,0.0005582277],"domain_scores_gemma":[0.9767113,0.01416219,0.001879753,0.004129479,0.002311456,0.000805905],"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":[0.0002470721,0.0002283701,0.01425543,0.0004056132,0.0002360033,0.0003114373,0.0009541967,0.07810164,0.003774299,0.4494526,0.01723631,0.434797],"study_design_scores_gemma":[0.00003401853,0.00007105557,0.002355344,0.0001034374,0.00004111851,0.0004383391,0.0004486154,0.5577584,0.003614617,0.4181221,0.01695775,0.00005505325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01739219,0.001145352,0.9705886,0.001414595,0.0002079817,0.000203929,0.0002635396,0.0003340064,0.008449806],"genre_scores_gemma":[0.4559964,0.001297877,0.5215084,0.0005229454,0.0003414279,0.0004217163,0.001260966,0.0002246802,0.01842551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007313208,"threshold_uncertainty_score":0.03867638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885315454632541,"score_gpt":0.2113932024848845,"score_spread":0.1925400479385591,"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."}}