{"id":"W1855629953","doi":"10.1017/cbo9780511635465.001","title":"Preface","year":2009,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Cognitive neuroscience of visual object recognition; Segmentation; Object (grammar)","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":[],"consensus_categories":[],"category_scores_codex":[0.0005166489,0.0009616132,0.0006274969,0.00164363,0.001772412,0.003367349,0.001189167,0.001351318,0.4059853],"category_scores_gemma":[0.002573737,0.0002915529,0.0004360905,0.001405182,0.0007791593,0.003458496,0.001759767,0.002581738,0.2817182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851019,"about_ca_system_score_gemma":0.001036797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002236807,"about_ca_topic_score_gemma":0.003820081,"domain_scores_codex":[0.9995531,0.00004848882,0.0000235559,0.0001131769,0.0002229576,0.00003862693],"domain_scores_gemma":[0.9991167,0.0001609628,0.00003434303,0.0001032615,0.0004148136,0.0001699635],"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":[0.00002082078,0.00001992028,0.00008132728,0.0001098735,0.00000205357,0.00005540166,0.0001329706,0.00007699817,0.0002278043,0.02215006,0.8901783,0.08694463],"study_design_scores_gemma":[9.562638e-7,0.000004440854,0.00007261279,0.0000451394,4.979441e-7,0.00005069649,0.00002966577,0.00001584926,0.000043653,0.00177802,0.9979569,0.000001660913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007123351,0.01404444,0.005074485,0.008406837,0.03834951,0.0001257525,0.002131964,0.000763784,0.9303908],"genre_scores_gemma":[0.00293277,0.004695583,0.001755162,0.001609515,0.004110308,0.00005321302,0.001533845,0.0003656393,0.982944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4059853,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014537375292559,"score_gpt":0.2044606051738284,"score_spread":0.1943152314209028,"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."}}