{"id":"W7023369469","doi":"","title":"Walk Experience","year":2021,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musical; Leverage (statistics); Walk-in; Work (physics); Music industry; Scale (ratio); Violin musical styles","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007160184,0.0005270827,0.0003502552,0.0005205619,0.004701589,0.00445687,0.0009573058,0.001486286,0.1149422],"category_scores_gemma":[0.002755021,0.0002401315,0.0004947018,0.0004603316,0.00108781,0.002749157,0.006942559,0.001637604,0.02633886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084114,"about_ca_system_score_gemma":0.001808077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007481916,"about_ca_topic_score_gemma":0.03390268,"domain_scores_codex":[0.9990169,0.0002496695,0.00002912632,0.0001426664,0.0002784587,0.0002831623],"domain_scores_gemma":[0.9986309,0.0001260701,0.0000303184,0.0001540571,0.0002735652,0.0007849634],"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":[0.0003768225,0.0005737246,0.003195813,0.0004116163,0.00002086884,0.002336218,0.0368835,0.000193804,0.00308532,0.02163403,0.7468177,0.1844706],"study_design_scores_gemma":[0.00001711375,0.0001219901,0.001925496,0.00009929501,0.000006280038,0.0006145908,0.01075412,0.0001095376,0.0002780514,0.001011298,0.9850371,0.00002502339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1067514,0.001943053,0.01651931,0.008005952,0.003151391,0.000727432,0.002889558,0.003592075,0.8564198],"genre_scores_gemma":[0.3032267,0.001537893,0.01268184,0.003767982,0.000458921,0.0005937085,0.003223221,0.0009512117,0.6735585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8850578,"threshold_uncertainty_score":0.3845199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007966760136813583,"score_gpt":0.2113956604723367,"score_spread":0.2034289003355232,"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."}}