{"id":"W7033145285","doi":"","title":"The Plainsong Use of Healey Willan","year":2016,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nature versus nurture; Work (physics); Order (exchange); Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001146372,0.00009964725,0.0001868923,0.00002575286,0.0002393588,0.00002418348,0.0007265679,0.00009816082,0.0002614057],"category_scores_gemma":[0.00001867532,0.0000811002,0.0001009486,0.00004139599,0.00005653939,0.0004012188,0.00005883944,0.00005064559,0.000008886179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109312,"about_ca_system_score_gemma":0.0001864993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2281158,"about_ca_topic_score_gemma":0.1713545,"domain_scores_codex":[0.9993251,0.00005624828,0.00009273842,0.0001530076,0.0002362441,0.0001366717],"domain_scores_gemma":[0.9988036,0.0002046846,0.0003442073,0.0004186624,0.0001755779,0.0000532291],"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":[0.0001616206,0.000141273,0.003731057,0.0004550036,0.0004934913,0.000006977539,0.2670437,0.00001328816,0.002506857,0.4919689,0.05921501,0.1742628],"study_design_scores_gemma":[0.000264903,0.0001105356,0.8463838,0.0003837536,0.00003017524,0.000002308204,0.01541061,0.00008703359,0.0001688744,0.000183071,0.1366885,0.0002863781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6842983,0.007519707,0.004385147,0.01012764,0.004738448,0.0008942077,0.0001227683,0.0001572032,0.2877565],"genre_scores_gemma":[0.8590517,0.001392013,0.001731108,0.00001637147,0.0000986446,4.011694e-7,0.00002641755,0.000009827675,0.1376735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8426527,"threshold_uncertainty_score":0.8437662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859435504636265,"score_gpt":0.2551508912426779,"score_spread":0.2365565361963153,"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."}}