{"id":"W2247922307","doi":"","title":"Curling: Chess on ice","year":2010,"lang":"en","type":"article","venue":"Optometry Times","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curling; Artificial intelligence; Computer science; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001997409,0.001049694,0.0003712428,0.00099292,0.002980024,0.002907372,0.000633528,0.0009291782,0.3300304],"category_scores_gemma":[0.0008793691,0.0002653095,0.000312317,0.000547129,0.0006678359,0.001545092,0.00157227,0.001201198,0.09711492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234082,"about_ca_system_score_gemma":0.001444953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03885816,"about_ca_topic_score_gemma":0.1875752,"domain_scores_codex":[0.9997885,0.00001326406,0.000008957861,0.00002829364,0.00009955467,0.00006149035],"domain_scores_gemma":[0.9995323,0.00002211682,0.00001845272,0.00001930672,0.0001707597,0.0002370173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005130714,0.00002504575,0.000496096,0.00006661106,0.000003095548,0.0001134866,0.0001261047,0.00002279552,0.0004037987,0.0006826321,0.9494568,0.04855234],"study_design_scores_gemma":[0.00001095508,0.00002251213,0.003228788,0.0001354189,0.000002899855,0.0003033972,0.0005965033,0.00004724966,0.0002346268,0.0005556728,0.9948539,0.000008088932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008069249,0.0121807,0.001191634,0.0268237,0.02013681,0.0001672456,0.002322678,0.003228677,0.9258793],"genre_scores_gemma":[0.02316931,0.006729118,0.002422475,0.005364163,0.002574254,0.00005019404,0.001338301,0.0005990595,0.9577532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3300304,"threshold_uncertainty_score":0.9556303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007599886502377117,"score_gpt":0.3216605099920345,"score_spread":0.3140606234896574,"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."}}