{"id":"W2406834122","doi":"","title":"Network Gyre - Exercising the Network's Rhythmic Potential","year":2015,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ocean gyre; Rhythm; Computer science; Physics; Fishery; Biology","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":[0.001020968,0.0004433125,0.0001362009,0.0005674847,0.001484016,0.002732642,0.0006162557,0.0005420992,0.007083777],"category_scores_gemma":[0.002338655,0.0001051573,0.0001686722,0.0003931471,0.002156061,0.002492594,0.00320428,0.0005927842,0.0007986702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006654955,"about_ca_system_score_gemma":0.0006423955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009953575,"about_ca_topic_score_gemma":0.003763577,"domain_scores_codex":[0.9993669,0.00029881,0.00001972274,0.000091256,0.0001449359,0.000078208],"domain_scores_gemma":[0.9991845,0.0003684264,0.00008051629,0.0001384938,0.00006682652,0.0001612386],"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":[0.0007390655,0.0002927931,0.01213355,0.001105522,0.00004042407,0.0009555502,0.05700111,0.007777631,0.05643929,0.3978022,0.02625909,0.4394538],"study_design_scores_gemma":[0.0001029682,0.001103669,0.01811178,0.0006391681,0.00005792231,0.001782347,0.04794632,0.01204324,0.01785609,0.08171203,0.8185466,0.00009783515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4466143,0.001657406,0.1600674,0.004243403,0.0007851031,0.0003151698,0.0001982666,0.001320608,0.3847983],"genre_scores_gemma":[0.8831935,0.001108799,0.06374003,0.0003820203,0.0001663011,0.0002349103,0.000130642,0.0001990113,0.05084475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007083777,"threshold_uncertainty_score":0.02369756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491748314898263,"score_gpt":0.2269047958020212,"score_spread":0.2119873126530386,"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."}}