{"id":"W2099596552","doi":"","title":"Bootstrapping via Graph Propagation","year":2012,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bootstrapping (finance); Computer science; Graph; Classifier (UML); Artificial intelligence; Theoretical computer science; Machine learning; Algorithm; Mathematics","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":[0.002765988,0.001168503,0.001524302,0.002509436,0.001021234,0.001431795,0.002644984,0.001995239,0.002480772],"category_scores_gemma":[0.01966723,0.000577756,0.001264598,0.002165645,0.001734081,0.002899744,0.00216033,0.002354933,0.001990848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007202348,"about_ca_system_score_gemma":0.00107979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198294,"about_ca_topic_score_gemma":0.00239009,"domain_scores_codex":[0.9967948,0.001222419,0.0001215013,0.0007745987,0.0009160873,0.0001706226],"domain_scores_gemma":[0.9900648,0.005759719,0.0004943982,0.002235286,0.00124945,0.0001963745],"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":[0.0002970873,0.0002611458,0.003112253,0.0002894101,0.0001925942,0.0004191874,0.0002733356,0.2425213,0.0145215,0.06299314,0.01403428,0.6610849],"study_design_scores_gemma":[0.00003364495,0.00005627456,0.000327926,0.00001947298,0.00002709834,0.0001385874,0.00002668903,0.9230855,0.005744276,0.06704281,0.003478339,0.0000193669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006891456,0.0001013039,0.9905819,0.0001192014,0.00003685851,0.000103565,0.00008878535,0.001276227,0.0008006743],"genre_scores_gemma":[0.2452538,0.0002400476,0.7493166,0.0003268008,0.0001458572,0.0004505803,0.001114654,0.0004213493,0.002730278],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002765988,"threshold_uncertainty_score":0.01462811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139237205410802,"score_gpt":0.2080648294632566,"score_spread":0.1966724574091486,"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."}}