{"id":"W2385437511","doi":"","title":"Comparative Research on the Development of Chinese and Canadian Mass Ice-Snow Sports","year":2010,"lang":"en","type":"article","venue":"China Winter Sports","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Population; Ice hockey; Function (biology); Advertising; Geography; Business; Meteorology; Sociology; Demography; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009479974,0.0002002515,0.0003598288,0.000259042,0.0002371673,0.00002567181,0.0001783487,0.00009107633,0.001442119],"category_scores_gemma":[0.00003523727,0.0001177526,0.00005857171,0.0002272278,0.000284666,0.00007892265,0.00006132862,0.0007963825,0.00001625609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005536832,"about_ca_system_score_gemma":0.0004376941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513813,"about_ca_topic_score_gemma":0.01680159,"domain_scores_codex":[0.9983813,0.0000154195,0.0003928554,0.0002971466,0.0005226596,0.0003905935],"domain_scores_gemma":[0.9988506,0.00004637043,0.0001027165,0.000528435,0.0001521684,0.0003196996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00032333,0.0001218727,0.9560595,0.00008279714,0.000070005,0.0001818178,0.02948148,0.000001526684,0.001094738,0.0004871397,0.005194509,0.006901324],"study_design_scores_gemma":[0.0002272992,0.0001115294,0.938669,0.000291643,0.000008704441,0.00006107409,0.0006064057,0.00003966257,0.003590111,0.0001886028,0.05608001,0.0001259688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532024,0.00004223911,0.00001024035,0.001633865,0.0005416967,0.0003762364,0.00000697584,0.00001534002,0.04417096],"genre_scores_gemma":[0.996012,0.000009351124,0.0006891212,0.0002455787,0.0002223355,0.00001723026,0.00001987888,0.00001927661,0.002765228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0508855,"threshold_uncertainty_score":0.9994707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285746979882267,"score_gpt":0.3389031622296882,"score_spread":0.3060456924308655,"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."}}