{"id":"W3046515415","doi":"10.31021/acs.20192117","title":"Daily Fantasy Sports in Canada: A Game Mixed of Chance and Skill","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fantasy; Psychology; Applied psychology; Advertising; Art; Literature; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001313141,0.0007415737,0.0005102353,0.00168329,0.01855544,0.006416644,0.00238521,0.001539176,0.01534285],"category_scores_gemma":[0.00254164,0.0004185664,0.0005874744,0.002540008,0.003725878,0.001271259,0.003244702,0.002383283,0.001206831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04913004,"about_ca_system_score_gemma":0.03892595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9700599,"about_ca_topic_score_gemma":0.995542,"domain_scores_codex":[0.9981659,0.0002957823,0.00004482067,0.0002076907,0.0006350075,0.0006507381],"domain_scores_gemma":[0.9967508,0.0002732737,0.00006804935,0.00006792699,0.0005045033,0.002335368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001591917,0.003477646,0.1232623,0.0007158756,0.0001783453,0.009268975,0.2175451,0.003236358,0.005014664,0.03715773,0.3522669,0.2462843],"study_design_scores_gemma":[0.0001459661,0.0005854944,0.1075007,0.000338716,0.00004483174,0.001216204,0.2600091,0.00481027,0.0009376602,0.002415608,0.6217024,0.0002931379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683311,0.001175563,0.001434357,0.01584224,0.000999529,0.0004389796,0.002026729,0.000274041,0.1094774],"genre_scores_gemma":[0.9293267,0.001038302,0.003255601,0.002421616,0.0001197765,0.000107748,0.0008634361,0.0001640694,0.06270278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04913004,"threshold_uncertainty_score":0.356465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073290265867729,"score_gpt":0.2379794957627139,"score_spread":0.2172465931040367,"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."}}