{"id":"W6986941679","doi":"","title":"Ricordo di Michelangelo Picone","year":2009,"lang":"it","type":"article","venue":"Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Duration (music); Qualitative analysis","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":[0.002462495,0.000999995,0.0007755879,0.002939521,0.002351239,0.005296006,0.0008750153,0.002000807,0.01796483],"category_scores_gemma":[0.006813518,0.0005453063,0.0003719539,0.001100144,0.003040324,0.00278443,0.002533887,0.005040129,0.01128694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003231082,"about_ca_system_score_gemma":0.00281255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005382295,"about_ca_topic_score_gemma":0.005767001,"domain_scores_codex":[0.997068,0.0007748243,0.00006654812,0.0008245484,0.0009658614,0.0003002205],"domain_scores_gemma":[0.9959526,0.001165961,0.0002374487,0.0002624511,0.001290145,0.001091328],"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":[0.0001621375,0.00004315484,0.001406413,0.0003208472,0.00001870845,0.0004154418,0.00162786,0.0002372365,0.002250679,0.05910449,0.8655043,0.06890871],"study_design_scores_gemma":[0.000004449236,0.00001349617,0.0005575297,0.00009982445,0.00000421026,0.0003697814,0.000143288,0.0001699275,0.0008244731,0.003037199,0.9947541,0.00002170803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01356829,0.165272,0.02055119,0.4392274,0.0649861,0.0001260172,0.0006312511,0.002036506,0.2936013],"genre_scores_gemma":[0.1468515,0.07241116,0.01115616,0.06382993,0.03479321,0.0002289853,0.0004648055,0.002781749,0.6674826],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01796483,"threshold_uncertainty_score":0.06009835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008909917414405614,"score_gpt":0.2294230231520366,"score_spread":0.220513105737631,"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."}}