{"id":"W7074126172","doi":"","title":"Towards a time-lapse prediction system for cricket matches","year":2014,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gestational period; Articular cartilage damage; Point (geometry); Matching (statistics); Work (physics); Term (time)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006621239,0.0000617242,0.0003184033,0.00002819877,0.00008876843,0.00005229633,0.0002105718,0.0001004415,0.0006325121],"category_scores_gemma":[0.000001757357,0.0002018996,0.0002006722,0.00007882177,0.0001341656,0.00004727198,0.00006222993,0.00007686912,0.0001228365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002780557,"about_ca_system_score_gemma":0.00005740444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100554,"about_ca_topic_score_gemma":0.0009774243,"domain_scores_codex":[0.999285,0.00003204273,0.00009276132,0.0002836394,0.0001527539,0.0001537468],"domain_scores_gemma":[0.9994721,0.00003547388,0.0001667058,0.0001608374,0.00009009875,0.00007483],"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":[0.00001592679,0.0001673635,0.0002459112,0.0005729976,0.0003026921,0.000003134177,0.00004879551,0.00002108916,0.00001455214,0.002306249,0.5935033,0.402798],"study_design_scores_gemma":[0.01596649,0.001190794,0.2952792,0.009700827,0.002770165,0.00004140343,0.005811753,0.02214095,0.00001017494,0.2707621,0.3721761,0.004149995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03392072,0.00008677434,0.2133324,0.00006790942,0.0006016673,0.001222328,0.0116593,0.000466202,0.7386427],"genre_scores_gemma":[0.8545745,0.000001977828,0.001160519,0.00001018891,0.000604998,0.000003767297,0.0006053097,0.0001262086,0.1429125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8206538,"threshold_uncertainty_score":0.9855137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003837764706675773,"score_gpt":0.1584550432267711,"score_spread":0.1546172785200954,"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."}}