{"id":"W4417156580","doi":"10.26661/2663-5925-2025-3-09","title":"ЦИФРОВІ ТЕХНОЛОГІЇ В БАСКЕТБОЛІ: АНАЛІТИКА ТА ВІДЕОАНАЛІЗ ДЛЯ ВДОСКОНАЛЕННЯ ТРЕНУВАЛЬНОГО ПРОЦЕСУ","year":2025,"lang":"","type":"article","venue":"Visnyk of Zaporizhzhya National University Physical education and Sports","topic":"Physical Education and Training Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Work (physics); Term (time); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006579696,0.0006400907,0.001098179,0.0009863058,0.001668873,0.00004577982,0.0005153535,0.0004151246,0.0007794529],"category_scores_gemma":[0.000695649,0.0007229299,0.0004283554,0.002149401,0.0008772059,0.0006957438,0.0003813442,0.001134291,0.0001067099],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005750482,"about_ca_system_score_gemma":0.008320784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003861685,"about_ca_topic_score_gemma":0.00002414271,"domain_scores_codex":[0.9954938,0.0004056585,0.001002666,0.001103171,0.00123609,0.0007586193],"domain_scores_gemma":[0.9944751,0.001102817,0.0009727073,0.0005222535,0.002358877,0.0005682996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004414208,0.009971654,0.01653091,0.001199616,0.0006248406,0.00000593504,0.02410559,0.00002764103,0.0003867187,0.8231468,0.07830851,0.04525033],"study_design_scores_gemma":[0.00324712,0.0002844634,0.5228869,0.001847959,0.0007639166,0.0000041492,0.06964004,0.0009575774,0.0002206739,0.05193799,0.3470324,0.001176724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6945214,0.0008558073,0.0002682866,0.02167871,0.005497848,0.001531555,0.0003581971,0.0001779853,0.2751102],"genre_scores_gemma":[0.956659,0.0005781997,0.0003945124,0.001832678,0.0009775353,0.00001389228,0.000262621,0.00003550264,0.03924607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7712088,"threshold_uncertainty_score":0.9996308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647032902607251,"score_gpt":0.3925747110954299,"score_spread":0.3661043820693574,"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."}}