{"id":"W4405496143","doi":"10.1007/978-3-031-61503-0_23","title":"Automated Classification of Construction Claim Documents Using Text Mining","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; Natural language processing; Data science; Artificial intelligence","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":[0.0007934505,0.0007187874,0.0006701343,0.008550335,0.000715363,0.00193828,0.0008742178,0.0008937556,0.002778975],"category_scores_gemma":[0.003095814,0.000231141,0.0007312044,0.005125103,0.00024157,0.001488234,0.0005558798,0.0007043274,0.003533574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005564256,"about_ca_system_score_gemma":0.001003275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125735,"about_ca_topic_score_gemma":0.004147553,"domain_scores_codex":[0.9990464,0.0001207307,0.0001490978,0.0001933367,0.0003952318,0.00009517559],"domain_scores_gemma":[0.9964657,0.001797036,0.0004482481,0.000281428,0.0008933643,0.0001141658],"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":[0.0004045096,0.0006317681,0.01477586,0.0006853754,0.00007877695,0.0006999938,0.0002638397,0.003563781,0.03813184,0.001935992,0.03849506,0.9003332],"study_design_scores_gemma":[0.0002021052,0.0006536801,0.1148952,0.0007914502,0.0005848405,0.003451938,0.002153886,0.5563758,0.1520116,0.01586401,0.1528355,0.000179927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5879827,0.009534966,0.2890408,0.002335353,0.001198556,0.00151166,0.06456084,0.0197827,0.02405238],"genre_scores_gemma":[0.5318417,0.002287119,0.3496353,0.0002333604,0.0006122662,0.0005887312,0.09832623,0.0004309565,0.01604439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008550335,"threshold_uncertainty_score":0.009296596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905286285939375,"score_gpt":0.2504813625161217,"score_spread":0.2314284996567279,"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."}}