{"id":"W3107287025","doi":"","title":"A Method for Operational Discovery in Maritime Operations","year":2020,"lang":"en","type":"article","venue":"NPARC","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Operations research; Operations management; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002817905,0.001108705,0.0007677579,0.00211379,0.001087807,0.002195268,0.002500588,0.001906413,0.01063716],"category_scores_gemma":[0.01142397,0.0006505966,0.001182174,0.001778023,0.002097869,0.003019148,0.002382806,0.002357504,0.00209962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284073,"about_ca_system_score_gemma":0.002170715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804899,"about_ca_topic_score_gemma":0.003376483,"domain_scores_codex":[0.9974743,0.0009306862,0.0001613843,0.0005955548,0.0007320641,0.0001059564],"domain_scores_gemma":[0.9951201,0.003346352,0.0002430415,0.0005996638,0.0005580624,0.0001327038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001758731,0.000130524,0.001055125,0.0005074294,0.0000916859,0.0003057118,0.0004469051,0.1160632,0.004087941,0.4101706,0.01230741,0.4546576],"study_design_scores_gemma":[0.00006049407,0.000057142,0.0001940422,0.00009361485,0.00002804241,0.000291341,0.00008348827,0.7816505,0.002980509,0.1782781,0.03624466,0.00003798917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007004897,0.00006954957,0.9958329,0.0001352065,0.00004171615,0.00008755751,0.00006012307,0.0004523646,0.002620244],"genre_scores_gemma":[0.03628523,0.0001099579,0.9591854,0.00007825708,0.00004138787,0.0003965106,0.0001439342,0.0001053038,0.003653904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01063716,"threshold_uncertainty_score":0.03558487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933023987645418,"score_gpt":0.2869081895810496,"score_spread":0.2575779497045955,"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."}}