{"id":"W4245911166","doi":"10.1007/978-1-4939-7131-2_100978","title":"Relationship Extraction","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Extraction (chemistry); Chemistry; Chromatography","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":[0.001158592,0.001569739,0.001016415,0.006186965,0.001370099,0.00372235,0.002299182,0.0009079778,0.1074313],"category_scores_gemma":[0.005357228,0.0007043036,0.001627675,0.007110631,0.0004652113,0.006116279,0.00293227,0.001551032,0.1006275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007271885,"about_ca_system_score_gemma":0.001469626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144063,"about_ca_topic_score_gemma":0.002005702,"domain_scores_codex":[0.9988698,0.0001134959,0.0001077786,0.0003801655,0.0004614773,0.00006718755],"domain_scores_gemma":[0.9985775,0.0003885932,0.00008191449,0.0005112673,0.0003832303,0.00005762448],"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":[0.00006530371,0.00008387041,0.0005307739,0.0006024876,0.00004276816,0.0001612186,0.0001186279,0.0004872825,0.005556411,0.03445039,0.1501291,0.8077719],"study_design_scores_gemma":[0.00002059338,0.00004652701,0.001137132,0.0003615714,0.000105622,0.001305929,0.000181515,0.007680429,0.018512,0.04510155,0.9255051,0.00004208411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00575321,0.006140782,0.6474205,0.002582952,0.001452923,0.001802319,0.02701305,0.02325639,0.2845779],"genre_scores_gemma":[0.04037868,0.00888883,0.6329636,0.00158804,0.0007205977,0.0008076783,0.06809702,0.003138274,0.2434173],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1074313,"threshold_uncertainty_score":0.3593935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05193771426233489,"score_gpt":0.2875365855305761,"score_spread":0.2355988712682412,"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."}}