{"id":"W2800935968","doi":"10.19153/cleiej.21.1.7","title":"Towards Technological Approaches for Concept Maps Mining from Text","year":2018,"lang":"en","type":"article","venue":"CLEI electronic journal","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Categorization; Computer science; Representation (politics); Data science; Resource (disambiguation); Subject (documents); Information retrieval; Data mining; Artificial intelligence; World Wide Web","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":[0.01525489,0.001632038,0.0007374714,0.03456377,0.002460747,0.01476205,0.004080401,0.002626359,0.004079473],"category_scores_gemma":[0.05164039,0.001173693,0.002271438,0.02416144,0.004878209,0.01604352,0.005431274,0.003150648,0.002845969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003443503,"about_ca_system_score_gemma":0.005057716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888346,"about_ca_topic_score_gemma":0.002336661,"domain_scores_codex":[0.9837961,0.006982944,0.001888551,0.00206871,0.004967653,0.0002961082],"domain_scores_gemma":[0.9590917,0.02905326,0.002436259,0.003654632,0.005278214,0.0004859561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007580692,0.000270403,0.004234092,0.002986381,0.0001495681,0.0006356001,0.0121712,0.006269942,0.006013538,0.5075114,0.006876091,0.4528059],"study_design_scores_gemma":[0.00004607881,0.000100159,0.004639289,0.001707713,0.0001252227,0.001177237,0.01394542,0.06875047,0.0112692,0.7092717,0.1888179,0.0001495842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005402625,0.001274153,0.9841733,0.001444635,0.00005735979,0.0005931407,0.000615807,0.0004114864,0.006027417],"genre_scores_gemma":[0.02243154,0.001134414,0.972559,0.0001430015,0.0000594841,0.001299419,0.001184498,0.00007571276,0.001112902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03456377,"threshold_uncertainty_score":0.0806765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683217410715092,"score_gpt":0.2562871333726142,"score_spread":0.2194549592654632,"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."}}