{"id":"W2106886536","doi":"10.1007/978-3-540-68825-9_19","title":"Selective Sampling for Classification","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Classifier (UML); Machine learning; Artificial intelligence; Task (project management); Active learning (machine learning); Set (abstract data type); Semi-supervised learning; Process (computing)","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":[0.002482272,0.001125943,0.002120901,0.001642198,0.001082854,0.001782578,0.002826489,0.001578104,0.01249836],"category_scores_gemma":[0.008060725,0.000720322,0.001414983,0.00227018,0.001311696,0.002115887,0.001853087,0.002537519,0.006260248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108483,"about_ca_system_score_gemma":0.0009104593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275204,"about_ca_topic_score_gemma":0.003256798,"domain_scores_codex":[0.9978125,0.0008834678,0.00009085271,0.0005274761,0.000528623,0.0001570671],"domain_scores_gemma":[0.9962921,0.001995686,0.0001007562,0.001188001,0.0003351377,0.00008829629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002155227,0.0001137327,0.001028825,0.0003486174,0.0001492693,0.0001177377,0.0001168855,0.03500128,0.003206387,0.2203177,0.06848329,0.6709007],"study_design_scores_gemma":[0.00005041944,0.00007313045,0.0005310406,0.00005069997,0.00005753339,0.0002347408,0.00003039491,0.6019577,0.003094716,0.3649892,0.02890452,0.00002583406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003271567,0.00186489,0.9876571,0.0004282656,0.0002713963,0.00008873628,0.0003849325,0.001185426,0.004847746],"genre_scores_gemma":[0.172483,0.002721508,0.7690356,0.001064884,0.001755322,0.000952792,0.004326995,0.0008683109,0.0467916],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01249836,"threshold_uncertainty_score":0.04181123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673726097810563,"score_gpt":0.2871909328080159,"score_spread":0.2504536718299102,"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."}}