{"id":"W4244904662","doi":"10.1007/978-1-4419-9917-7_100490","title":"Weinek, Ladislaus","year":2014,"lang":"en","type":"book-chapter","venue":"Biographical Encyclopedia of Astronomers","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000142801,0.0004307296,0.0008296597,0.0006290087,0.0001395046,0.00002824867,0.0003545405,0.0003620108,0.0268566],"category_scores_gemma":[0.00001611093,0.0003684297,0.0009463419,0.00003876717,0.001685673,0.00004804922,0.00009053046,0.0004952204,0.0003006853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001460871,"about_ca_system_score_gemma":0.00004837334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009651649,"about_ca_topic_score_gemma":0.0005018361,"domain_scores_codex":[0.9982522,0.00002531655,0.0006261747,0.0004793085,0.0002737431,0.0003433313],"domain_scores_gemma":[0.9987422,0.0001325433,0.0003898037,0.0004108403,0.0001235391,0.0002010262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002835552,0.00003765877,0.00008769873,0.00004323715,0.0005009412,0.000003109899,0.0002827873,0.000001281791,0.00000101982,0.9602258,0.02219832,0.01658976],"study_design_scores_gemma":[0.0002064035,0.0002226267,0.0001249121,0.00005094618,0.0004846234,4.231873e-7,0.00003625253,0.00000366409,6.203416e-7,0.008164629,0.9903371,0.0003677812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004475076,0.0003266867,0.00006743053,0.0004635151,0.0008654756,0.0001704156,0.0001607512,0.00006129174,0.9974369],"genre_scores_gemma":[0.03966259,0.0007919735,0.0002112886,0.0004446447,0.002868071,0.00002295304,0.0002950523,0.00008430806,0.9556191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9681388,"threshold_uncertainty_score":0.9998767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205124637825701,"score_gpt":0.1855748010251442,"score_spread":0.1735235546468872,"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."}}