{"id":"W4236597551","doi":"10.1002/wcms.1325","title":"Inside Cover Image, Volume 7, Issue 4","year":2017,"lang":"en","type":"paratext","venue":"Wiley Interdisciplinary Reviews Computational Molecular Science","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cover (algebra); Volume (thermodynamics); Image (mathematics); Computer science; Computer vision; Engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001147678,0.0007220794,0.0009381576,0.000404803,0.0007951166,0.0006103213,0.002890716,0.0003273275,0.001304509],"category_scores_gemma":[0.0003485168,0.0006919056,0.0007202724,0.0004313576,0.001717584,0.00006750512,0.004433183,0.0004784846,0.01426605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001452704,"about_ca_system_score_gemma":0.0007987304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082999,"about_ca_topic_score_gemma":0.000003072296,"domain_scores_codex":[0.9955061,0.0002350836,0.0009564846,0.001827946,0.0008482357,0.000626146],"domain_scores_gemma":[0.9957153,0.00001868897,0.001046712,0.002156268,0.0007843638,0.0002787201],"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":[0.00001950503,0.00008577661,0.000005486006,0.0001484591,0.00006996981,0.00004782276,0.00004470955,0.001007644,0.08414768,0.00001080918,0.9065827,0.007829498],"study_design_scores_gemma":[0.0002165665,0.0003121172,0.00006481121,0.0008723791,0.0001176439,0.0001387364,0.00001150626,0.002397984,0.02011308,0.0006570211,0.9740981,0.0009999946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002211747,0.06450754,0.3559213,0.001173453,0.001731998,0.002647478,0.0001882686,0.00008115287,0.571537],"genre_scores_gemma":[0.1578519,0.0316926,0.1365023,0.007371693,0.004564832,0.001288971,0.0142328,0.00063794,0.645857],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.219419,"threshold_uncertainty_score":0.9996085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382484786233418,"score_gpt":0.348121645828429,"score_spread":0.3342967979660948,"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."}}