{"id":"W1966922244","doi":"10.1145/1376616.1376751","title":"DiMaC","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Missing data; Computer science; Data mining; Information retrieval; Machine learning","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":[0.00002022952,0.00002011331,0.00002082512,0.0000111003,0.00007128371,0.00001596717,0.000307408,0.000005922766,0.00002070877],"category_scores_gemma":[0.00000275263,0.00001613272,0.000008538669,0.0001075397,0.0000121228,0.0001427236,0.00007475659,0.00001651128,0.000347784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002252948,"about_ca_system_score_gemma":0.00001066755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001039879,"about_ca_topic_score_gemma":3.130767e-7,"domain_scores_codex":[0.9997701,0.000001947756,0.00003398507,0.00009038992,0.00004774534,0.00005585298],"domain_scores_gemma":[0.9997025,0.000009264278,0.000006155688,0.000247312,0.000009527091,0.00002530964],"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":[9.621117e-8,0.00004906084,0.0005093982,6.024476e-7,0.000002846212,0.00001360342,0.000227437,0.000002732551,0.0002592062,0.6667692,0.1023232,0.2298426],"study_design_scores_gemma":[0.0002349747,0.00004094349,0.02062326,0.000002276448,0.000001256062,0.0003352501,0.00001216381,0.2880213,0.004215351,0.006411288,0.6798279,0.0002739772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003098288,0.000007137456,0.9529006,0.0006634463,0.0000339338,0.00001554036,6.730203e-7,0.0001436838,0.04313665],"genre_scores_gemma":[0.1956169,0.00001062258,0.7984175,0.000508006,0.00003001008,0.000008881753,0.000001791718,0.000001656648,0.005404616],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.660358,"threshold_uncertainty_score":0.4470176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613503910547162,"score_gpt":0.2298764421736518,"score_spread":0.2037414030681802,"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."}}