{"id":"W7003746084","doi":"","title":"Canada","year":2011,"lang":"en","type":"book-chapter","venue":"CINECA IRIS Institutional Research information system (University of Urbino)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Identification (biology); Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005931949,0.0001758232,0.0002660393,0.0004438417,0.0003144684,0.00001880496,0.000563029,0.0003232421,0.0002434989],"category_scores_gemma":[0.00008400029,0.0002106917,0.0001547353,0.00009166326,0.0003917466,0.00004945415,0.0003620727,0.0002985373,0.0002121312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460729,"about_ca_system_score_gemma":0.003100785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1035868,"about_ca_topic_score_gemma":0.03662053,"domain_scores_codex":[0.9983304,0.00004097206,0.0003124225,0.0002178587,0.0008834134,0.0002149084],"domain_scores_gemma":[0.9973844,0.00001766156,0.0002954542,0.0005237385,0.001641169,0.0001375455],"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":[0.0001965805,0.00001459803,0.00004273904,0.0005707821,0.0003638545,0.00004992778,0.0001214371,0.00004505364,0.0008014425,0.1342296,0.8596018,0.003962131],"study_design_scores_gemma":[0.0002538228,0.00007327522,0.000119297,0.0001763251,0.00003069341,0.00002550735,0.0002183581,0.00004626284,0.0008764782,0.00007605174,0.9979133,0.0001906259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004624618,0.0001551684,0.007002045,0.00006159327,0.00004899338,0.0003380485,0.0003028616,0.00002290262,0.9916059],"genre_scores_gemma":[0.6375118,0.0005106544,0.0009037163,0.00009455829,0.0001694023,0.000002703446,0.003317136,0.0000232881,0.3574668],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6370493,"threshold_uncertainty_score":0.9809586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03309703527463045,"score_gpt":0.2423622882621875,"score_spread":0.209265252987557,"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."}}