{"id":"W1972971693","doi":"10.4043/24153-ms","title":"Simulation Technology To Assess ROV Operations at an Early Planning Phase","year":2013,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CM Labs Simulations (Canada)","funders":"","keywords":"Subsea; Remotely operated underwater vehicle; Marine engineering; Operability; Computer science; Simulation; Engineering; Robot; Mobile robot; Reliability engineering; 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":[0.001044733,0.0005870708,0.0003486762,0.0008525383,0.0003360039,0.000984703,0.0005473585,0.0004121046,0.005589358],"category_scores_gemma":[0.002399041,0.0003122783,0.0003997727,0.0005141795,0.0003453228,0.0008072058,0.0006031087,0.0005623898,0.0009288942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008950569,"about_ca_system_score_gemma":0.0009829163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005819756,"about_ca_topic_score_gemma":0.002941154,"domain_scores_codex":[0.9994092,0.0002418723,0.00003422721,0.00006448154,0.0001988685,0.00005144016],"domain_scores_gemma":[0.9988972,0.0005528473,0.000102302,0.0001547928,0.0002548949,0.00003785453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001607575,0.00006839431,0.005127018,0.00005732374,0.00003495339,0.00004569759,0.00008773481,0.9561055,0.005904241,0.008013438,0.0007562554,0.02363864],"study_design_scores_gemma":[0.00002707321,0.0001927932,0.001358697,0.00002387753,0.00001314198,0.00001645516,0.00008067441,0.9846147,0.008216546,0.001922205,0.003518024,0.00001592327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.203268,0.0001176679,0.7519504,0.0001417827,0.00006815783,0.0005495579,0.001419048,0.005387178,0.03709821],"genre_scores_gemma":[0.8816935,0.0001296714,0.1119561,0.00003289605,0.000005766094,0.0005645811,0.00102481,0.0002378545,0.00435477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005819756,"threshold_uncertainty_score":0.01869828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03674622709409265,"score_gpt":0.3079267239475109,"score_spread":0.2711804968534183,"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."}}