{"id":"W2000231926","doi":"10.1109/cogsima.2014.6816558","title":"Textual risk mining for maritime situational awareness","year":2014,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Larus Technologies (Canada); University of Ottawa","funders":"National Geospatial-Intelligence Agency","keywords":"Situation awareness; Computer science; Situational ethics; Data science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283803,0.001100609,0.0006260334,0.006345887,0.000640083,0.001877379,0.001149869,0.0007462747,0.004595189],"category_scores_gemma":[0.009187485,0.0004220442,0.000987203,0.003214549,0.0004582494,0.003615977,0.001665995,0.000868067,0.002545042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007219979,"about_ca_system_score_gemma":0.001061027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748508,"about_ca_topic_score_gemma":0.002037995,"domain_scores_codex":[0.9977599,0.0005813948,0.0003387448,0.000570667,0.0006770546,0.00007222246],"domain_scores_gemma":[0.9946629,0.002942184,0.0008249705,0.0007042417,0.0007272075,0.0001385612],"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":[0.0006445919,0.0005257902,0.01337111,0.002113479,0.0002273882,0.001534739,0.001762221,0.02809296,0.03986394,0.02829596,0.0245289,0.8590389],"study_design_scores_gemma":[0.00009828142,0.0002347803,0.01287301,0.0004079073,0.0003334791,0.001870996,0.001347273,0.7425241,0.04908402,0.09745315,0.09360833,0.0001646931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04058567,0.0009842814,0.9209952,0.0009422466,0.0001342278,0.0004863535,0.01083626,0.01903103,0.006004791],"genre_scores_gemma":[0.3818505,0.0006596482,0.5873253,0.0003114007,0.0002683467,0.0005271157,0.02464894,0.0009178103,0.003491041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006345887,"threshold_uncertainty_score":0.01537246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708779864761301,"score_gpt":0.2643192195205347,"score_spread":0.2372314208729217,"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."}}