{"id":"W2609094877","doi":"10.1142/9789813227927_0001","title":"Open information extraction","year":2017,"lang":"en","type":"book-chapter","venue":"World Scientific encyclopedia with semantic computing and robotic intelligence","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Natural language processing; Infinitive; Verb; Relationship extraction; Verb phrase; Artificial intelligence; Tuple; Noun; Noun phrase; Relation (database); Variety (cybernetics); Linguistics; Phrase; Simple (philosophy); Information extraction; Mathematics; Data mining; Philosophy","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001243177,0.0004954229,0.0005424338,0.0006781836,0.001578749,0.005653687,0.003777999,0.0001832897,0.00003544124],"category_scores_gemma":[0.0001015352,0.0003956151,0.00007041872,0.0001853832,0.0005100404,0.00205529,0.002220848,0.0007825718,0.0001238866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008820833,"about_ca_system_score_gemma":0.0003220492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008385878,"about_ca_topic_score_gemma":0.0003222799,"domain_scores_codex":[0.9971075,0.00003085152,0.0006504956,0.00103544,0.0007132622,0.0004624304],"domain_scores_gemma":[0.9966112,0.0002015597,0.00103104,0.001570476,0.0004085727,0.0001771654],"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":[0.00001148921,0.00002231257,0.00003363372,0.0002269544,0.00003946441,0.00007701552,0.001452029,0.0004542383,0.00000589026,0.5314673,0.003041849,0.4631678],"study_design_scores_gemma":[0.0003608057,0.0003143519,0.0001211973,0.01059943,0.0002435341,0.0008530598,0.00008324004,0.1996573,0.0005015877,0.3735654,0.4103576,0.003342546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000004932057,0.0009223974,0.7148036,0.0003887663,0.001713597,0.000574331,0.000001523115,0.0003410356,0.2812498],"genre_scores_gemma":[0.02318274,0.0001360505,0.3974918,0.0001346967,0.0001756732,0.00000814959,0.00003420821,0.00003614224,0.5788006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4598253,"threshold_uncertainty_score":0.9998496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962821869585735,"score_gpt":0.2892205845926096,"score_spread":0.2695923658967522,"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."}}