{"id":"W6962579577","doi":"10.17605/osf.io/wc2ax","title":"ManyBabies 1: Materials","year":2023,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001478729,0.002497549,0.001590869,0.001198843,0.001341032,0.001762489,0.003462877,0.002949894,0.4223265],"category_scores_gemma":[0.005093773,0.001937859,0.0007059739,0.001028539,0.0008803373,0.002113069,0.003105561,0.002337861,0.1698417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004384151,"about_ca_system_score_gemma":0.0009345208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007518561,"about_ca_topic_score_gemma":0.001349582,"domain_scores_codex":[0.9993259,0.0001161172,0.0001010051,0.0002135535,0.0001576923,0.000085692],"domain_scores_gemma":[0.9971566,0.0008947126,0.00009907655,0.001067255,0.0004516999,0.0003306469],"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":[0.02333229,0.008835749,0.001521971,0.01397171,0.0001496959,0.001482742,0.001350719,0.005004595,0.2585165,0.03688314,0.4133728,0.2355781],"study_design_scores_gemma":[0.00527032,0.004056179,0.005888588,0.0007136511,0.0002790451,0.001121455,0.0003124688,0.004023398,0.0587377,0.03242278,0.8868406,0.0003337886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1314315,0.0038403,0.1827637,0.00209669,0.003791274,0.0670851,0.3271911,0.06254952,0.2192508],"genre_scores_gemma":[0.1724847,0.002444908,0.2329523,0.003625472,0.0006748092,0.183899,0.1452024,0.0351386,0.2235779],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4223265,"threshold_uncertainty_score":0.823981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989407582987697,"score_gpt":0.2538239144801882,"score_spread":0.2339298386503113,"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."}}