{"id":"W7100724052","doi":"","title":"Improved Intention Discovery with Classified Emotions in A Modified","year":2012,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Windsor; Legislation; Data collection; Intellectual property","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001417431,0.00006993494,0.00007082131,0.00007590907,0.00005484931,0.0001429863,0.0002957539,0.0000258492,0.000004047739],"category_scores_gemma":[0.000008992633,0.00005109638,0.00001906331,0.0003703857,0.00002307246,0.001621071,0.0001057338,0.00007770018,0.00002014401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002822507,"about_ca_system_score_gemma":0.00002384401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001366322,"about_ca_topic_score_gemma":0.00008003334,"domain_scores_codex":[0.9994037,0.00001501801,0.0001059942,0.0001810173,0.00008147083,0.0002128244],"domain_scores_gemma":[0.9994769,0.00002329058,0.00003576956,0.0003813449,0.00002218665,0.00006051048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008750351,0.000626383,0.002931451,0.000008996122,0.00001767435,0.000001152406,0.0007081039,0.00003934052,0.005297678,0.8910109,0.00102293,0.09832669],"study_design_scores_gemma":[0.001016283,0.000105373,0.151184,0.00003807357,0.00000951862,0.00002319672,0.0003921017,0.8421918,0.0009926356,0.001387322,0.002278458,0.0003812731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05095464,0.000006557515,0.9439292,0.0008872125,0.00007713201,0.0001174288,0.00000385929,0.00009007412,0.003933896],"genre_scores_gemma":[0.8895987,0.000002443537,0.1086957,0.00009338664,0.00002457598,0.000056931,0.00001225198,0.000004057711,0.001511918],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8896235,"threshold_uncertainty_score":0.208365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287493518005986,"score_gpt":0.2552182282541985,"score_spread":0.2264688764535999,"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."}}