{"id":"W4231088049","doi":"10.1109/cogsima.2018.8424000","title":"CogSIMA 2018 Front cover","year":2018,"lang":"en","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Front cover; Cover (algebra); Front (military); Computer science; Geography; Engineering; Meteorology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005348006,0.001155769,0.0006932489,0.002438779,0.001361516,0.003794699,0.001394608,0.001954808,0.8275146],"category_scores_gemma":[0.001141291,0.0003446931,0.0007826098,0.001682705,0.0005275339,0.00143489,0.001709694,0.001211327,0.7743147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091024,"about_ca_system_score_gemma":0.001089434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153408,"about_ca_topic_score_gemma":0.001869267,"domain_scores_codex":[0.9996393,0.00002604722,0.0000119793,0.00009642256,0.0001682627,0.00005798652],"domain_scores_gemma":[0.9990356,0.0001096759,0.00004648082,0.0001859758,0.0003025879,0.0003196828],"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":[0.00008466981,0.00003691778,0.0001515206,0.000193614,0.000006626301,0.0001146673,0.00001818829,0.0001058971,0.003454841,0.004364585,0.8243583,0.1671101],"study_design_scores_gemma":[0.000008664761,0.00000875597,0.0003488279,0.00003663634,0.000002613844,0.00007132174,0.00001344051,0.000161575,0.0006932857,0.000982462,0.9976682,0.000004165784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001364516,0.001160953,0.005383811,0.001851567,0.004292924,0.0001034283,0.006119187,0.008639953,0.9710836],"genre_scores_gemma":[0.003502487,0.0008161744,0.002858002,0.000403602,0.0005875988,0.00006883113,0.006522552,0.002573175,0.9826676],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1724854,"threshold_uncertainty_score":0.2460295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005920178804772174,"score_gpt":0.2582583519500309,"score_spread":0.2523381731452587,"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."}}