{"id":"W3016967412","doi":"10.18060/23385","title":"Innovating Youth Tournament Schedules to Minimize School Absenteeism","year":2020,"lang":"en","type":"article","venue":"Sports Innovation Journal","topic":"Youth Substance Use and School Attendance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Brock University","funders":"","keywords":"Tournament; Attendance; Absenteeism; Salient; Psychology; Applied psychology; Demographic economics; Political science; Social psychology; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002317027,0.0002382801,0.0002585186,0.0008304482,0.0009261408,0.0008849027,0.0009357932,0.0002248732,0.001671994],"category_scores_gemma":[0.004643376,0.00015501,0.0002944011,0.0008588789,0.0003430527,0.0003202827,0.0006632989,0.0004164448,0.0002862803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850761,"about_ca_system_score_gemma":0.00411444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06651453,"about_ca_topic_score_gemma":0.2878863,"domain_scores_codex":[0.9984972,0.0005462848,0.0001143379,0.000165684,0.000357813,0.0003186518],"domain_scores_gemma":[0.9978334,0.0002478939,0.0007253478,0.0002315063,0.0003544768,0.0006073532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000664445,0.003142352,0.786204,0.0002117659,0.0001391797,0.0001057494,0.003656409,0.002168924,0.00705492,0.0008986653,0.003365372,0.1923881],"study_design_scores_gemma":[0.00005349751,0.001488795,0.9883544,0.00004146045,0.00002909491,0.00002576025,0.002500293,0.001007553,0.00101641,0.0001920676,0.005275573,0.00001508998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991331,0.00009437917,0.003679761,0.0002326267,0.00002960116,0.0004248594,0.0002950003,0.00007052553,0.003842414],"genre_scores_gemma":[0.9887097,0.0001475162,0.008736506,0.00005469303,0.00001668995,0.0004218858,0.0003574944,0.00001113097,0.001544284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06651453,"threshold_uncertainty_score":0.1322547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07159127505670257,"score_gpt":0.3207959868669626,"score_spread":0.24920471181026,"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."}}