{"id":"W7002135548","doi":"","title":"Muodostelmaluistelun muuttuneiden lajivaatimusten huomiointi kasvuikäisten urheilijoiden harjoittelussa : opas valmentajille vammojen ennaltaehkäisemiseksi","year":2023,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Work (physics); Population; Process (computing)","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":[0.000480292,0.000539318,0.0006986777,0.000762501,0.001073341,0.00211908,0.0004647384,0.0009205784,0.02403891],"category_scores_gemma":[0.0006207423,0.000321246,0.0006767701,0.0004630737,0.0006965499,0.000938285,0.001237039,0.001792982,0.0046381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008461814,"about_ca_system_score_gemma":0.001803415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003299363,"about_ca_topic_score_gemma":0.01071599,"domain_scores_codex":[0.9995765,0.00005638974,0.00002448259,0.00009114823,0.0001722226,0.00007932269],"domain_scores_gemma":[0.9996563,0.00007823257,0.00006497862,0.00002360128,0.00009472825,0.00008218948],"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":[0.00445591,0.001218651,0.008647284,0.004513826,0.0002380376,0.001850814,0.003063077,0.0004750741,0.4656042,0.01328812,0.01195011,0.4846948],"study_design_scores_gemma":[0.0001698757,0.003001395,0.0331155,0.001226081,0.0003788344,0.003582575,0.004059855,0.0005264131,0.2261446,0.003986172,0.7236764,0.0001322636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5796387,0.1734903,0.01591251,0.008040942,0.002781641,0.0004121412,0.002028853,0.0008776467,0.2168172],"genre_scores_gemma":[0.6480696,0.06553063,0.01990857,0.002495856,0.0005830295,0.0003863297,0.001456211,0.0004166537,0.2611531],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02403891,"threshold_uncertainty_score":0.08041817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196383522388051,"score_gpt":0.275996651716608,"score_spread":0.2440328164927275,"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."}}