{"id":"W7071284653","doi":"","title":"Siegmar Fricke - Selective Resections (ca034)","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Melody; Musical; Musical instrument; Identity (music); Tonality; German","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":[],"consensus_categories":[],"category_scores_codex":[0.0007829313,0.0009725156,0.0003684797,0.001428713,0.001077928,0.001468188,0.0008591691,0.003574787,0.06212301],"category_scores_gemma":[0.001717233,0.0002977566,0.0004999095,0.0005347907,0.0005835007,0.0009529913,0.001303121,0.002910638,0.026388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159729,"about_ca_system_score_gemma":0.002368426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006183465,"about_ca_topic_score_gemma":0.01704879,"domain_scores_codex":[0.9993365,0.00006295682,0.00004310012,0.0001987425,0.0002316849,0.0001268993],"domain_scores_gemma":[0.9993652,0.0001300376,0.00007217506,0.00003743467,0.0001927666,0.0002024551],"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":[0.0001731786,0.00004976937,0.0004342975,0.0002383384,0.00001256745,0.0008213298,0.0001166609,0.0001025782,0.001502863,0.005827179,0.7292131,0.2615082],"study_design_scores_gemma":[0.00001214099,0.00003393604,0.0006474217,0.0001408939,0.00000383923,0.00106626,0.00002501211,0.00002907427,0.0007387036,0.0004695416,0.9968245,0.000008799759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01478572,0.2030878,0.007147652,0.09380496,0.08064339,0.0007009134,0.003458626,0.002237265,0.5941338],"genre_scores_gemma":[0.03073085,0.04335982,0.004621265,0.0199995,0.00843654,0.0003170884,0.001698687,0.0004964205,0.8903399],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06212301,"threshold_uncertainty_score":0.2078221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007621050380444407,"score_gpt":0.2075688918230574,"score_spread":0.199947841442613,"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."}}