{"id":"W2011200591","doi":"10.7152/acro.v23i1.14234","title":"Classification in Terms of Basic Concepts","year":2013,"lang":"en","type":"article","venue":"Advances in Classification Research Online","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Natural language processing; Data science; 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":[0.001116878,0.0001582907,0.0002611573,0.00116564,0.00007159134,0.0001019453,0.001790213,0.0001585336,0.00007877342],"category_scores_gemma":[0.0008369794,0.0001458835,0.00004357931,0.00287438,0.0005351477,0.002355977,0.0002451243,0.000555695,0.0001280615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002454787,"about_ca_system_score_gemma":0.0001056468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007172518,"about_ca_topic_score_gemma":0.0002066297,"domain_scores_codex":[0.9969233,0.0003202597,0.0008306561,0.0006668434,0.0007606688,0.0004982937],"domain_scores_gemma":[0.9974027,0.0006856921,0.0002720766,0.001210909,0.0003504565,0.00007815622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001015976,0.0006004618,0.0760667,0.00005136774,0.000002961346,0.000001770159,0.0002672886,0.00004922096,0.02872489,0.4441923,0.0004282549,0.4496046],"study_design_scores_gemma":[0.0007869533,0.0001390198,0.7406653,0.0001186358,8.996542e-7,0.000001641701,0.001405165,0.07447743,0.004847069,0.1614398,0.01586839,0.0002496881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7587726,0.00444882,0.1171585,0.07005387,0.0008381454,0.005452294,0.00004744672,0.001129468,0.04209897],"genre_scores_gemma":[0.9801252,0.002355308,0.01653115,0.00005341143,0.00002504301,0.0004517197,0.00003664227,0.00001133866,0.000410177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6645986,"threshold_uncertainty_score":0.5948955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106445803747518,"score_gpt":0.447580356272246,"score_spread":0.3411345525247281,"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."}}