{"id":"W2071049913","doi":"10.3390/informatics1010032","title":"Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining","year":2013,"lang":"en","type":"article","venue":"Informatics","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"Génome Québec; Genome Canada","keywords":"Ranking (information retrieval); Computer science; Task (project management); Context (archaeology); Information retrieval; Document classification; Natural language processing; Artificial intelligence; World Wide Web; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002291234,0.0001864631,0.0002361088,0.0002612626,0.0002548661,0.0004739426,0.0007458944,0.00009986546,0.00001452274],"category_scores_gemma":[0.0001977277,0.0001824801,0.00006039094,0.0009595027,0.00003872361,0.002659753,0.0001724977,0.00009392015,0.0001281895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080726,"about_ca_system_score_gemma":0.0001135581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002134256,"about_ca_topic_score_gemma":0.000006096379,"domain_scores_codex":[0.9984478,0.00003161839,0.0007164687,0.0002200842,0.0003003951,0.0002835925],"domain_scores_gemma":[0.9977801,0.0002595671,0.0005098493,0.0007046988,0.0006253875,0.000120345],"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":[0.00001977913,0.0001400636,0.001187201,0.0001263096,0.000160863,4.678569e-7,0.04845528,0.005329021,0.03457863,0.1219767,0.04078518,0.7472405],"study_design_scores_gemma":[0.0001756449,0.00004776348,0.00114891,0.00007430481,0.00001069467,0.000001141643,0.003474794,0.9616846,0.003441399,0.003679754,0.02598475,0.0002762877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01065651,0.00002776086,0.9849187,0.001111068,0.0001756188,0.0008247097,0.00001313169,0.0003047212,0.001967838],"genre_scores_gemma":[0.2286049,0.000009338258,0.7703224,0.000700673,0.00007992594,0.0001936873,0.00003660191,0.00001186834,0.00004065643],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9563555,"threshold_uncertainty_score":0.7441322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07513631016913433,"score_gpt":0.3480759311327196,"score_spread":0.2729396209635853,"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."}}