{"id":"W7021310904","doi":"","title":"Novel model for Better Segmentation","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Segmentation; Feature extraction; Preprocessor; Image segmentation; Leverage (statistics); Encoder; Pattern recognition (psychology); ENCODE","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":[],"consensus_categories":[],"category_scores_codex":[0.0007848322,0.00006259752,0.0001243243,0.0001230007,0.0002082283,0.0002013591,0.0004904676,0.00005582114,6.22366e-8],"category_scores_gemma":[0.0003002069,0.00004592403,0.0001404873,0.0003060722,0.000004350517,0.001940114,0.00004135805,0.00007203859,0.000001944147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220531,"about_ca_system_score_gemma":0.00009248479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.177914e-7,"about_ca_topic_score_gemma":6.135522e-7,"domain_scores_codex":[0.9988852,0.00001871125,0.0006585555,0.00004753853,0.0002772679,0.0001126945],"domain_scores_gemma":[0.9969056,0.0003525563,0.001650175,0.0001665741,0.0009049026,0.00002025332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002458951,0.00003343927,0.0005690274,0.00007727645,0.0001183848,5.488968e-9,0.00110147,0.6253034,0.001846544,0.3043571,0.05840607,0.008162729],"study_design_scores_gemma":[0.0009043691,0.00001573411,0.0003421852,0.00004397723,0.00002319188,0.000002620863,0.00006203517,0.9488789,0.0006750795,0.00495122,0.04404376,0.00005689714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003489127,0.00001522241,0.9931948,0.004031925,0.001169905,0.0007257307,0.00002441599,0.00001913464,0.0004699686],"genre_scores_gemma":[0.7802856,0.0000115052,0.2093242,0.004047174,0.0003579205,0.0004507098,0.00002388417,0.0000106222,0.005488387],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7838706,"threshold_uncertainty_score":0.1941711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908837211324476,"score_gpt":0.2798192679671513,"score_spread":0.2607308958539066,"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."}}