{"id":"W2078839944","doi":"10.1287/deca.1050.0032","title":"An Analysis of a Strategic Decision in the Sport of Curling","year":2005,"lang":"en","type":"article","venue":"Decision Analysis","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Federated Co-operatives (Canada)","funders":"","keywords":"Curling; Blanking; Championship; Blank; Point (geometry); Operations research; Computer science; Decision tree; Artificial intelligence; Mathematics; Engineering; Advertising; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001203737,0.0001081468,0.0004070742,0.001142498,0.00004021779,0.00002563228,0.0006220993,0.00004753498,0.006281023],"category_scores_gemma":[0.00002827901,0.00007195891,0.0004074907,0.008506816,0.00007975051,0.0001878853,0.00007797425,0.0000670584,0.0001149939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004157654,"about_ca_system_score_gemma":0.0000045415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758083,"about_ca_topic_score_gemma":0.01072916,"domain_scores_codex":[0.9982132,0.0000489667,0.0005804365,0.0002733625,0.000723155,0.0001609306],"domain_scores_gemma":[0.9988456,0.0001541062,0.0002126328,0.0007233421,0.00001363475,0.00005061981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003036642,0.0001602059,0.4910564,6.948549e-7,0.0002685542,0.000002568082,0.0004173033,0.4844444,0.00006692908,0.0005144139,0.00009610588,0.02294205],"study_design_scores_gemma":[0.0001296428,0.00002852464,0.5714693,0.00000345392,0.001824747,1.186406e-7,0.0002258175,0.4249789,0.00002415133,0.0004977158,0.0007441585,0.00007351501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913794,0.0000241062,0.002451539,0.00004501312,0.000007905757,0.00006990145,0.000004870578,0.000005306072,0.006011971],"genre_scores_gemma":[0.9966114,0.00004549665,0.003113369,0.0001001031,0.00001109817,0.000002475687,0.00002515006,0.000004069154,0.00008684258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08041286,"threshold_uncertainty_score":0.9946274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377829118087953,"score_gpt":0.3163845976747636,"score_spread":0.2926063064938841,"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."}}