{"id":"W4299879240","doi":"10.13140/2.1.3826.9766","title":"Hand segmentation with structured convolutional learning","year":2014,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Segmentation; Artificial intelligence","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":[0.00005736748,0.00004064053,0.00003538145,0.00003610015,0.0001559241,0.0001166499,0.00006643356,0.00001503995,0.0001739277],"category_scores_gemma":[0.000005474081,0.00003068912,0.000009856276,0.00006585935,0.00001874625,0.0002947684,0.00001316432,0.0000498622,0.00007764972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001019093,"about_ca_system_score_gemma":0.00001050765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005749728,"about_ca_topic_score_gemma":0.00001254003,"domain_scores_codex":[0.9996202,0.00002957545,0.00005305028,0.0001144037,0.0001134889,0.00006926763],"domain_scores_gemma":[0.9998179,0.00002090386,0.00003071974,0.0000578585,0.0000455474,0.00002707987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003484108,0.00007488592,0.009379468,0.0000264284,0.00006587508,0.000004236881,0.001586073,0.004359619,0.06070711,0.3660506,0.002566831,0.555144],"study_design_scores_gemma":[0.003817055,0.0009429808,0.08709302,0.00004076905,0.00002363065,0.0001319656,0.0002851852,0.6308969,0.2064689,0.03021803,0.03931138,0.0007702083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08859445,0.000001962006,0.9040644,0.0001408035,0.00006098667,0.00003465207,1.314652e-7,0.00008341992,0.007019231],"genre_scores_gemma":[0.9753167,4.240868e-7,0.02346645,0.0002287624,0.00004767595,0.000003416087,0.000009014785,0.000002024179,0.0009255601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8867222,"threshold_uncertainty_score":0.1904386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00748283769889144,"score_gpt":0.2088919604525177,"score_spread":0.2014091227536263,"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."}}