{"id":"W2970344992","doi":"10.2139/ssrn.3304756","title":"Focused Concept Miner (FCM): Interpretable Deep Learning for Text Exploration","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Artificial intelligence; Deep learning; Computer science; Natural language processing; Psychology; Machine learning","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":[0.001066853,0.0001307451,0.0001524447,0.0001013009,0.0003386158,0.0002178304,0.0006303748,0.00006318942,0.00001804433],"category_scores_gemma":[0.0001251761,0.0001176404,0.00009030182,0.0001640736,0.00003674674,0.001077073,0.00008381192,0.0007714875,0.00003700142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892624,"about_ca_system_score_gemma":0.0005892798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001349156,"about_ca_topic_score_gemma":0.000207618,"domain_scores_codex":[0.9976732,0.00008135731,0.0002790578,0.0002820341,0.0002066956,0.001477723],"domain_scores_gemma":[0.9992566,0.00006608258,0.0001658747,0.0002339641,0.0002068926,0.00007055239],"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":[0.00003302409,0.00002840308,0.0001110574,0.000003687469,0.0000705295,0.000001043037,0.00338971,0.00198481,0.001465695,0.2337914,0.0001788312,0.7589418],"study_design_scores_gemma":[0.0009991826,0.0009559643,0.00001318224,0.00002675024,0.00001597629,0.0001269615,0.0007746643,0.7369586,0.001522176,0.2463816,0.01197257,0.000252407],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008399861,0.0009351411,0.9883843,0.001013563,0.0004747711,0.0001352772,1.148728e-7,0.0000807965,0.0005761453],"genre_scores_gemma":[0.9767913,0.0001158098,0.01993231,0.0001503466,0.0007879339,0.00001470149,0.000001315532,0.00001751277,0.002188806],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.968452,"threshold_uncertainty_score":0.4797238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519618051992385,"score_gpt":0.2513088160287952,"score_spread":0.2361126355088713,"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."}}