{"id":"W4312944742","doi":"10.54916/rae.119309","title":"Playing Slow","year":2021,"lang":"en","type":"article","venue":"Research in Arts and Education","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of the Fraser Valley","keywords":"Computer science","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":[0.0008147078,0.001222012,0.0004109357,0.001341141,0.001388273,0.003382643,0.0008475322,0.000782932,0.07143769],"category_scores_gemma":[0.004885728,0.000236693,0.000379249,0.0006661846,0.001818107,0.002965385,0.001939394,0.001132935,0.01447778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008018188,"about_ca_system_score_gemma":0.001043038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004530648,"about_ca_topic_score_gemma":0.006445488,"domain_scores_codex":[0.9991097,0.000153855,0.00003486119,0.0002754628,0.0002900303,0.0001360279],"domain_scores_gemma":[0.998594,0.0005180564,0.000141149,0.0001794874,0.0003394991,0.0002277414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001957308,0.0005529472,0.01883336,0.001613876,0.0001860485,0.001209276,0.03346064,0.003177897,0.05826952,0.2775234,0.07605072,0.5271651],"study_design_scores_gemma":[0.000227959,0.001361338,0.03286259,0.0007693392,0.0001848543,0.001616551,0.02046586,0.008741107,0.0103364,0.06404554,0.8592035,0.0001850542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1643162,0.0018627,0.08163734,0.001809253,0.001127418,0.0004763219,0.001219226,0.001962409,0.7455891],"genre_scores_gemma":[0.6724529,0.00225149,0.03027297,0.00140076,0.0003013302,0.000422165,0.001278533,0.0007493691,0.2908705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07143769,"threshold_uncertainty_score":0.2389829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3218704744755035,"score_gpt":0.4701572149002534,"score_spread":0.1482867404247499,"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."}}