{"id":"W3199108511","doi":"10.3389/fpsyg.2021.712300","title":"Match-Fixing Causing Harm to Athletes on a COVID-19-Influenced Gambling Market: A Call for Research During the Pandemic and Beyond","year":2021,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Harm; Pandemic; Psychology; Athletes; Coronavirus disease 2019 (COVID-19); Mental health; Addiction; Price fixing; Perspective (graphical); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Public relations; Criminology; Social psychology; Psychiatry; Political science; Economics; Medicine; Monopoly","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":[0.005752482,0.0002856579,0.0009648605,0.001002079,0.002898652,0.00505576,0.00137457,0.003952494,0.01219392],"category_scores_gemma":[0.01814906,0.0002479356,0.0008987234,0.001107776,0.005218972,0.007312456,0.002939778,0.007144555,0.0008068483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00305352,"about_ca_system_score_gemma":0.009611045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468074,"about_ca_topic_score_gemma":0.03995107,"domain_scores_codex":[0.9967059,0.00191635,0.0000929085,0.0002616114,0.0003723634,0.0006507682],"domain_scores_gemma":[0.9753826,0.01280499,0.003396689,0.00071722,0.003091509,0.004607016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005898008,0.002417905,0.3013444,0.004273593,0.0005028344,0.002094263,0.04704554,0.0003578792,0.0005922919,0.07047526,0.1184523,0.4518539],"study_design_scores_gemma":[0.00009511891,0.0007121007,0.4559006,0.02010563,0.0003719375,0.001641376,0.2982023,0.0009696796,0.0002934992,0.1032098,0.1182979,0.0002000256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2207432,0.08287478,0.001684361,0.6648529,0.002942672,0.0001603644,0.0006162036,0.00004046636,0.02608507],"genre_scores_gemma":[0.8078645,0.09979074,0.002979148,0.08113726,0.004196587,0.0003021702,0.0003994185,0.00005340976,0.003276814],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01468074,"threshold_uncertainty_score":0.0407927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1929072381710212,"score_gpt":0.4968507011994839,"score_spread":0.3039434630284626,"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."}}