{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002684427,0.001172646,0.0005967692,0.001800347,0.003359855,0.004393605,0.001262445,0.001400424,0.7636908],"category_scores_gemma":[0.001183013,0.0003991924,0.0004010581,0.002218773,0.0006702196,0.001259353,0.001407072,0.00140217,0.5234168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006814522,"about_ca_system_score_gemma":0.008267891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3813012,"about_ca_topic_score_gemma":0.6306539,"domain_scores_codex":[0.9993193,0.00003392452,0.00001580614,0.0001734462,0.0003448981,0.0001126135],"domain_scores_gemma":[0.9990814,0.00008651258,0.00003427353,0.00007831774,0.0005554795,0.0001640368],"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":[0.00007670325,0.00004928701,0.000544993,0.0002222681,0.00001269315,0.0002598282,0.0001304313,0.0002932817,0.00098549,0.02621877,0.7815154,0.1896908],"study_design_scores_gemma":[0.000005274519,0.000004320171,0.0003834116,0.0000581675,0.000003010371,0.00004760868,0.00006799271,0.00007347804,0.0001591558,0.0008765162,0.9983165,0.000004577821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005194288,0.001653206,0.0005719324,0.001104315,0.0004241363,0.00003717763,0.004043092,0.0004434484,0.9912033],"genre_scores_gemma":[0.001235807,0.0007016659,0.0003591998,0.0002068049,0.00002119555,0.00001174896,0.001309164,0.0001008916,0.9960533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7636908,"threshold_uncertainty_score":0,"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."}}