{"id":"W3185481745","doi":"10.29173/mm12","title":"Screendance for Adult Dancers:","year":2021,"lang":"en","type":"article","venue":"Movement Matters","topic":"Diversity and Impact of Dance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dance; Process (computing); Class (philosophy); Component (thermodynamics); Field (mathematics); Visual arts; Observational study; Through-the-lens metering; Composition (language); Sociology; Multimedia; Computer science; Lens (geology); Art; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006086896,0.00009152425,0.0001094166,0.00002654229,0.00007461051,0.00003485668,0.0001431285,0.00003388748,0.002464132],"category_scores_gemma":[0.00001887492,0.0001014002,0.00007646563,0.00007918959,0.00003263825,0.0001086555,0.00004297821,0.00005086176,0.0004318506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004309927,"about_ca_system_score_gemma":0.00001518266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007588139,"about_ca_topic_score_gemma":0.0000210199,"domain_scores_codex":[0.999234,0.0000198667,0.0001115135,0.0002421461,0.0001150681,0.0002774167],"domain_scores_gemma":[0.9994991,0.0000335888,0.00005012355,0.0002676675,0.00008979715,0.00005976753],"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":[0.00009621825,0.0001699901,0.004206374,0.00004107309,0.0001393731,0.00002704475,0.0007711407,0.000009691113,0.002797529,0.01646332,0.9680574,0.007220839],"study_design_scores_gemma":[0.006438769,0.0004243879,0.08064147,0.0001838764,0.0001004914,0.000007244595,0.008935275,0.00006619345,0.02388737,0.003803806,0.8747367,0.0007744625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.4758874,0.001296604,0.07943715,0.2150603,0.009273258,0.001636655,0.001109047,0.000446212,0.2158533],"genre_scores_gemma":[0.2533104,0.00005040265,0.009446162,0.6341842,0.0004836861,0.0001597629,0.0001750792,0.00005760813,0.1021326],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4191239,"threshold_uncertainty_score":0.9984478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327138348544494,"score_gpt":0.2964849631073338,"score_spread":0.2732135796218889,"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."}}