{"id":"W3199119106","doi":"10.1371/journal.pone.0257767","title":"Modelling the dynamics of change in the technical skills of young basketball players: The INEX study","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sports Performance and Training","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundação para a Ciência e a Tecnologia; Instituto Português do Desporto e Juventude, I.P.; Comité Olímpico de Portugal","keywords":"Basketball; Anthropometry; Sprint; Club; Psychology; Coaching; Multilevel model; Maturity (psychological); Medicine; Physical therapy; Mathematics; Developmental psychology; Statistics; Geography","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":[0.00130445,0.0003848579,0.0004565106,0.0005311273,0.0002488161,0.0009493934,0.0007791923,0.0007671114,0.001967028],"category_scores_gemma":[0.004467551,0.0004292287,0.0008871593,0.000538695,0.0002388291,0.0006099627,0.0009534605,0.0005956838,0.0002782686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005527438,"about_ca_system_score_gemma":0.001170031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04574548,"about_ca_topic_score_gemma":0.03324767,"domain_scores_codex":[0.9997115,0.0001073021,0.00001763848,0.00008430054,0.00002244545,0.00005684065],"domain_scores_gemma":[0.9986256,0.0008734051,0.0002031008,0.0001012509,0.00008985474,0.0001067795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002626556,0.0002569567,0.7136496,0.0000949622,0.0003584451,0.0002632683,0.0004542145,0.2654609,0.001203035,0.001767198,0.0004947482,0.01573394],"study_design_scores_gemma":[0.00002067032,0.0002605413,0.1322373,0.00004732332,0.0000955088,0.00008625407,0.0004340843,0.8639964,0.000295016,0.001506188,0.0009995534,0.00002102813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874288,0.0001557723,0.01122576,0.0001044779,0.000006646618,0.00003002566,0.0006546858,0.00003308797,0.0003608159],"genre_scores_gemma":[0.9910227,0.0001748419,0.006764403,0.00002056597,0.000005134631,0.00006598612,0.0009011147,0.00001485472,0.001030452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04574548,"threshold_uncertainty_score":0.09095848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119078325903116,"score_gpt":0.2962886293605645,"score_spread":0.1772103034574485,"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."}}