{"id":"W4244554860","doi":"10.1007/978-1-4614-6170-8_100407","title":"Topic Identification","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Identification (biology); Computer science; Biology; Botany","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":[0.000121055,0.0001542777,0.0001952907,0.0001603571,0.0000404181,0.000094081,0.00093318,0.0001443202,0.0001783],"category_scores_gemma":[0.000009723175,0.0001425677,0.0001182424,0.00002919085,0.00002579759,0.0001490028,0.0002028363,0.0001312861,0.0007576179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004530235,"about_ca_system_score_gemma":0.00001558321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002209515,"about_ca_topic_score_gemma":0.000007047212,"domain_scores_codex":[0.9990062,0.00000624078,0.0002552841,0.0004071636,0.0002256095,0.00009947627],"domain_scores_gemma":[0.9985241,0.00002819052,0.0001835307,0.001135537,0.00009093769,0.00003770966],"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":[5.857191e-8,9.41696e-7,5.038395e-7,0.000003069563,0.000008007426,9.84101e-7,0.000004687499,5.881699e-7,0.00004358561,0.876344,0.002909091,0.1206845],"study_design_scores_gemma":[0.00001555979,0.000008554895,0.000007834737,0.00001182836,0.000009438676,0.000001793891,9.57805e-8,0.001012593,0.0008116484,0.4793622,0.5185996,0.0001588488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.081621e-7,0.00003533798,0.5404519,0.0001487792,0.00005421886,0.00004661781,1.657327e-7,0.0003449612,0.4589179],"genre_scores_gemma":[0.001304237,0.00004710039,0.07377354,0.0002508327,0.00008376597,0.00000606196,0.000007167539,0.00001341165,0.9245139],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5156905,"threshold_uncertainty_score":0.9737899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398489818882232,"score_gpt":0.2539511684350372,"score_spread":0.2399662702462149,"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."}}