{"id":"W2166375963","doi":"10.1109/coginf.2002.1039301","title":"Scientific curve classification by combining simple algorithms","year":2003,"lang":"en","type":"article","venue":"","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Classifier (UML); Computer science; Statistical classification; Algorithm; Data mining; Machine learning; Variety (cybernetics); Artificial intelligence; Simple (philosophy); Pattern recognition (psychology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003923723,0.0001329205,0.0001859465,0.0000416991,0.0002345831,0.0001890962,0.0001475176,0.00006092941,0.001183651],"category_scores_gemma":[0.001044566,0.0001049887,0.00005092406,0.0003710991,0.0001544648,0.0001939352,0.00002366033,0.0001226472,0.0002361972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003367558,"about_ca_system_score_gemma":0.0000210544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001541543,"about_ca_topic_score_gemma":0.000002318471,"domain_scores_codex":[0.9986339,0.00009152878,0.0002963127,0.0003432703,0.0003220896,0.0003129609],"domain_scores_gemma":[0.9987519,0.0006238707,0.00007171786,0.0002845955,0.0001136135,0.0001542692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002650155,0.0002800025,0.0003083198,0.00001670426,0.00001466129,0.000001984919,0.00007603774,1.680584e-7,0.001694,0.8848676,0.1005018,0.01223609],"study_design_scores_gemma":[0.0005495496,0.00009005899,0.0003126896,0.000008444578,0.00002651848,0.000008177138,0.0003436056,0.01054715,0.007536539,0.8535976,0.1266332,0.0003464216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01297888,0.000058347,0.944324,0.0002566699,0.0004208832,0.0002314139,0.00005475209,0.0002330357,0.04144207],"genre_scores_gemma":[0.6810901,0.000007550939,0.2921465,0.0002380456,0.00005129882,0.0000527354,0.0001057476,0.00004793201,0.02626009],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6681112,"threshold_uncertainty_score":0.9997294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0862485097974272,"score_gpt":0.3423160850643746,"score_spread":0.2560675752669473,"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."}}