{"id":"W4411457087","doi":"10.24193/icu2022.32","title":"Improve Skiing Race Competencies / Actual Aspects of preparation","year":2023,"lang":"en","type":"article","venue":"","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Alpine skiing; Aeronautics; Computer science; Alliance; Race (biology); Focus (optics); Work (physics); Trajectory; Quality (philosophy); Engineering; Simulation; Mechanical engineering; Political science; Sociology; Physics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111079,0.0003106668,0.000214172,0.0005630431,0.001355637,0.002355622,0.0005334955,0.0006394823,0.03697356],"category_scores_gemma":[0.002665083,0.0001390175,0.0003035624,0.0002503085,0.0005991829,0.001481045,0.002732408,0.001247383,0.0112888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215499,"about_ca_system_score_gemma":0.004597258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007852579,"about_ca_topic_score_gemma":0.02137508,"domain_scores_codex":[0.9990208,0.0001493913,0.00004622701,0.0001065856,0.0004078806,0.0002691096],"domain_scores_gemma":[0.9985474,0.00007840542,0.000138348,0.00008289283,0.0005067569,0.0006462923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001687223,0.002490764,0.03671337,0.001134512,0.00002817079,0.0002277693,0.01111092,0.0006290555,0.01170975,0.01189421,0.1618889,0.7620039],"study_design_scores_gemma":[0.00006224539,0.001647323,0.3541124,0.001512347,0.00006249187,0.001024682,0.0188495,0.0009628336,0.007362682,0.006851634,0.6074756,0.00007629353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3814658,0.002270587,0.0149144,0.02905744,0.001701601,0.0008975327,0.001008538,0.001716396,0.5669678],"genre_scores_gemma":[0.6797816,0.004185129,0.03490448,0.004702735,0.0002717241,0.0004798265,0.001379447,0.0002708675,0.2740242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03697356,"threshold_uncertainty_score":0.1236889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440304558812889,"score_gpt":0.2935991094137443,"score_spread":0.2791960638256155,"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."}}