{"id":"W1562793767","doi":"10.2202/1559-0410.1047","title":"Improved Draws for Highland Dance","year":2007,"lang":"en","type":"article","venue":"Journal of Quantitative Analysis in Sports","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dance; Balance (ability); Order (exchange); Constant (computer programming); Sociology; Computer science; Visual arts; Art; Psychology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002433651,0.00008547616,0.000307057,0.00103095,0.00005165739,0.00004981009,0.0002583228,0.00003493803,0.000006553727],"category_scores_gemma":[0.0001689637,0.00007277747,0.0002352672,0.001970162,0.00002003703,0.0005086719,0.00002323581,0.000094557,4.893643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004820137,"about_ca_system_score_gemma":0.0000809953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006413405,"about_ca_topic_score_gemma":0.0001116814,"domain_scores_codex":[0.9986652,0.00003163514,0.0006715701,0.0001644477,0.0003082625,0.000158884],"domain_scores_gemma":[0.998292,0.0003708438,0.000613291,0.0001356325,0.0005226835,0.00006554356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001020527,0.001285721,0.2617528,0.00008391788,0.002397181,0.0006711227,0.008345812,0.2634374,0.02188179,0.2888838,0.001773567,0.1484664],"study_design_scores_gemma":[0.001496226,0.0006567687,0.5477305,0.00004636432,0.0003649096,0.00004034592,0.0003672996,0.4214463,0.004870233,0.01837841,0.004251198,0.0003514156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3028925,0.000248248,0.6963671,0.0001697154,0.0001939456,0.00005134781,8.279999e-7,0.00000368563,0.00007265903],"genre_scores_gemma":[0.785628,0.00002222646,0.2141061,0.00009302257,0.00006890077,9.835144e-7,0.000003006577,0.000002517807,0.00007530186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4827355,"threshold_uncertainty_score":0.2967779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388071029120552,"score_gpt":0.3324719861465488,"score_spread":0.3085912758553433,"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."}}