{"id":"W1514794976","doi":"10.1007/978-3-642-04146-4_2","title":"Image Analysis and Machine Learning: How to Foster a Stronger Connection?","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Selection (genetic algorithm); Machine learning; Image (mathematics); Cognitive science; Psychology","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":[0.004548346,0.001251885,0.00165439,0.0017059,0.001329957,0.005997825,0.002454282,0.004740871,0.01573724],"category_scores_gemma":[0.02406763,0.0008469509,0.0008782818,0.001830064,0.008911707,0.0323555,0.007023755,0.008442054,0.005549859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123552,"about_ca_system_score_gemma":0.001052023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035562,"about_ca_topic_score_gemma":0.001075788,"domain_scores_codex":[0.9976676,0.0009719433,0.0001399608,0.0004615546,0.0006526973,0.000106178],"domain_scores_gemma":[0.9849606,0.01015782,0.0005535562,0.002292351,0.001485808,0.0005500042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001453267,0.0001259008,0.0005023907,0.0006088289,0.00009570485,0.00006459689,0.0002393752,0.001492234,0.002038018,0.7352321,0.02086231,0.2385933],"study_design_scores_gemma":[0.00002387906,0.00003684576,0.0002493162,0.0001565212,0.00003149992,0.0001405309,0.00005730616,0.008312301,0.0009352122,0.9572535,0.03277648,0.0000264426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01686914,0.07830062,0.6852266,0.1219174,0.003934685,0.0000831127,0.00019314,0.001141171,0.09233423],"genre_scores_gemma":[0.3723679,0.0660677,0.484835,0.01905388,0.01167928,0.0003118991,0.0003126236,0.0009770957,0.04439474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01573724,"threshold_uncertainty_score":0.05264628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520146112292583,"score_gpt":0.2440431524845555,"score_spread":0.2288416913616296,"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."}}