{"id":"W4255514414","doi":"10.5771/0943-7444-2020-4-320","title":"Facet","year":2020,"lang":"en","type":"article","venue":"KNOWLEDGE ORGANIZATION","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Facet (psychology); Product (mathematics); Object (grammar); Term (time); Popularity; Field (mathematics); Subject (documents); Function (biology); Computer science; Sociology; Knowledge management; Psychology; Library science; Artificial intelligence; Social psychology","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":[0.00003941665,0.00006445007,0.00006127291,0.00002996967,0.00006037243,0.0001066023,0.0005130021,0.00004227024,0.00004365938],"category_scores_gemma":[0.0002663227,0.00005968053,0.000009195217,0.001114394,0.000009137763,0.0003583009,0.0002051776,0.0000676191,0.0004118063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002168297,"about_ca_system_score_gemma":0.00004284486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.31957e-7,"about_ca_topic_score_gemma":5.155358e-7,"domain_scores_codex":[0.9995437,0.00002108916,0.00008296434,0.0001907527,0.00007302482,0.00008848444],"domain_scores_gemma":[0.9995655,0.000007748798,0.00003260393,0.0001486287,0.0001861969,0.00005931149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001693157,0.0001028986,0.002698591,0.000135791,0.00001579658,0.00001683807,0.01776396,0.000007345287,0.1789761,0.5496378,0.0730619,0.1775813],"study_design_scores_gemma":[0.0002866461,0.00008226057,0.0005913992,0.00002728239,0.000007503421,0.00001419883,0.0000293177,0.02037876,0.9451011,0.0123,0.02075727,0.0004242058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006950229,0.0007369462,0.9924163,0.003231508,0.00008620013,0.00006179334,3.625558e-7,0.001451583,0.001320268],"genre_scores_gemma":[0.8015764,0.000004340094,0.1975683,0.0006045946,0.00009800793,0.00000104423,0.000005667437,0.0000113719,0.0001302757],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8008814,"threshold_uncertainty_score":0.5293074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350486682738577,"score_gpt":0.2450513619245166,"score_spread":0.2315464950971308,"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."}}