{"id":"W7021158969","doi":"","title":"NLL Draft: EP 14 ft. Derek Keenan and Austin Madronic","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Subject (documents)","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":["insufficient_payload"],"category_scores_codex":[0.002859688,0.0006935988,0.0007373871,0.00151681,0.002368077,0.007967896,0.0009227998,0.00200651,0.6654581],"category_scores_gemma":[0.02004156,0.0005366274,0.0005902014,0.001771776,0.0007269671,0.003300831,0.002404615,0.003021235,0.6586453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003802102,"about_ca_system_score_gemma":0.003426944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03125769,"about_ca_topic_score_gemma":0.0483759,"domain_scores_codex":[0.9986054,0.0002574927,0.00007576201,0.000166521,0.0007666198,0.0001281722],"domain_scores_gemma":[0.9932269,0.001273991,0.0001175343,0.0005741515,0.004402343,0.0004051049],"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":[0.000005322163,0.000002270644,0.00001253967,0.00001412282,4.897498e-7,0.000004475611,0.000008489243,0.00000975428,0.0000187727,0.0007121628,0.9965444,0.00266719],"study_design_scores_gemma":[0.000007841659,0.000002992838,0.0001572896,0.00006263603,0.000001233223,0.000008174176,0.0000373092,0.00005314143,0.00006175453,0.0009003364,0.9987034,0.000003971193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004785015,0.00113646,0.004295159,0.0325682,0.02288456,0.00039162,0.04339324,0.004920877,0.8899314],"genre_scores_gemma":[0.002353764,0.0004448547,0.001131588,0.003677607,0.001407131,0.0001803442,0.0160454,0.002187782,0.9725714],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3345419,"threshold_uncertainty_score":0.4771833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00629075343674189,"score_gpt":0.1787334068114594,"score_spread":0.1724426533747175,"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."}}