{"id":"W47182532","doi":"10.1515/jqas-2013-0010","title":"Advanced putting metrics in golf","year":2013,"lang":"en","type":"article","venue":"Journal of Quantitative Analysis in Sports","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Statistical physics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002806506,0.00137683,0.001257109,0.01173972,0.001050725,0.003903385,0.001363531,0.001172751,0.003750486],"category_scores_gemma":[0.01761276,0.0003414566,0.0007916646,0.01251732,0.001684572,0.00640708,0.003841622,0.001015679,0.001122425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222488,"about_ca_system_score_gemma":0.0009580152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087558,"about_ca_topic_score_gemma":0.008168358,"domain_scores_codex":[0.9952179,0.001176107,0.0004947975,0.0007036348,0.002057257,0.0003503222],"domain_scores_gemma":[0.9927055,0.002241704,0.001624178,0.0007480806,0.002059739,0.0006208173],"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":[0.0002790118,0.0002180756,0.09843478,0.0005843922,0.0002497395,0.0003254461,0.001825994,0.1456311,0.002569695,0.164139,0.01323854,0.5725043],"study_design_scores_gemma":[0.00004154052,0.0006250406,0.1400668,0.0003713253,0.00009506055,0.0006586903,0.003815392,0.5194166,0.003887116,0.2774142,0.05335481,0.0002534542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2711485,0.004761824,0.6841091,0.0009689404,0.000398719,0.0004271614,0.007503803,0.00232002,0.028362],"genre_scores_gemma":[0.7871878,0.0008196358,0.2016823,0.00008777375,0.0002007403,0.0003844777,0.005237903,0.0003077529,0.00409163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01173972,"threshold_uncertainty_score":0.02162457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135080247708244,"score_gpt":0.2579305418874191,"score_spread":0.2465797394103367,"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."}}