{"id":"W4288080216","doi":"10.1145/3394486.3403367","title":"Cracking the Black Box","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Machine learning; Deep learning; Artificial intelligence; Heuristics; Scalability; Artificial neural network; Tree (set theory); Black box; Analytics; Deep neural networks; Big data; Transparency (behavior); Data science; Data mining","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":[0.0114816,0.001161141,0.001526094,0.001394956,0.001783664,0.006603668,0.003053765,0.004526147,0.02100732],"category_scores_gemma":[0.05749922,0.001076266,0.001075961,0.001270489,0.007084353,0.0266079,0.007033682,0.01230518,0.007677996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517847,"about_ca_system_score_gemma":0.002862959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893212,"about_ca_topic_score_gemma":0.002575461,"domain_scores_codex":[0.9933982,0.002450078,0.000230416,0.001612606,0.001933839,0.0003748444],"domain_scores_gemma":[0.9682694,0.0206052,0.0009999819,0.006994811,0.002176044,0.0009545503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002922633,0.0001271639,0.002000058,0.0004149622,0.0001438996,0.00009304094,0.0005213267,0.0224811,0.00134935,0.70015,0.07250181,0.199925],"study_design_scores_gemma":[0.00004692998,0.00006093601,0.0004245907,0.0003813534,0.00002426855,0.00007303846,0.0001746691,0.06101428,0.001050504,0.8507395,0.0859625,0.00004733037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02313821,0.01341719,0.7373621,0.1726206,0.003904372,0.00009416031,0.001403721,0.004004413,0.04405522],"genre_scores_gemma":[0.5784894,0.01387579,0.3105447,0.05077812,0.006096482,0.0004818494,0.001484436,0.004730346,0.033519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02100732,"threshold_uncertainty_score":0.0702765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0733719857501904,"score_gpt":0.2397268493838919,"score_spread":0.1663548636337014,"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."}}