{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002316111,0.001889887,0.001015644,0.002560413,0.0005342448,0.001485047,0.003011162,0.002333908,0.01031548],"category_scores_gemma":[0.009147974,0.0009134201,0.001568113,0.001947067,0.0004987845,0.003355022,0.003156988,0.003484348,0.003560358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007926093,"about_ca_system_score_gemma":0.001808223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003951359,"about_ca_topic_score_gemma":0.009739286,"domain_scores_codex":[0.9991967,0.0002492327,0.00006200414,0.0002564898,0.0001705909,0.00006494422],"domain_scores_gemma":[0.996711,0.002344357,0.0001006619,0.0004003718,0.000313747,0.0001298192],"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":[0.0003408144,0.0002966419,0.001342007,0.0006160983,0.0001762584,0.0001487727,0.0003263068,0.03027675,0.006339661,0.009266632,0.03716974,0.9137003],"study_design_scores_gemma":[0.00007482158,0.0001046558,0.0003075967,0.0001052961,0.00005710455,0.0000836146,0.00006736303,0.9509956,0.006446427,0.03200824,0.009727072,0.00002239119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01353274,0.001520785,0.9565242,0.0005903084,0.000251483,0.000298592,0.003620512,0.02176142,0.001900029],"genre_scores_gemma":[0.1385695,0.0008510952,0.8462654,0.0004784749,0.0001697827,0.000641243,0.006876123,0.0009657213,0.00518256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01031548,"threshold_uncertainty_score":0.03450871,"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."}}