{"id":"W3108266917","doi":"10.31542/muse.v4i1.1956","title":"Lennon vs. McCartney","year":2020,"lang":"en","type":"article","venue":"MacEwan University Student eJournal","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Chord (peer-to-peer); Markov chain; Variety (cybernetics); Literature; Computer science; Art; Speech recognition; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001146739,0.0001066586,0.0001353149,0.00006322646,0.0003531831,0.000197722,0.001148535,0.00003381417,0.00009884843],"category_scores_gemma":[0.000007088829,0.0001106283,0.00007683395,0.0003396375,0.00003411684,0.0005168237,0.0005312516,0.000228009,0.00009231588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006269061,"about_ca_system_score_gemma":0.00008459734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007763564,"about_ca_topic_score_gemma":0.000003952252,"domain_scores_codex":[0.9989814,0.00005109823,0.0001017192,0.0002671038,0.0003664999,0.000232222],"domain_scores_gemma":[0.9994323,0.00001457601,0.00009172998,0.000149043,0.00005973329,0.0002525774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000368653,0.0007611923,0.242601,0.0001892409,0.0006185891,0.006597053,0.08059911,0.001382864,0.008475325,0.09598689,0.2663841,0.296036],"study_design_scores_gemma":[0.002890707,0.0004282744,0.07044696,0.00007831087,0.00006213326,0.0001146383,0.003112986,0.01118217,0.001771264,0.0003749489,0.9087694,0.0007682469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09139984,0.00008101475,0.8409845,0.03552207,0.0003015653,0.00009180142,0.000002143784,0.0002239239,0.03139317],"genre_scores_gemma":[0.9882621,0.00002731665,0.006211997,0.00431903,0.0001683402,4.962568e-8,4.907391e-7,0.000004922805,0.001005717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8968623,"threshold_uncertainty_score":0.4511291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923115241889353,"score_gpt":0.2176418258830204,"score_spread":0.1984106734641269,"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."}}