{"id":"W4366778416","doi":"10.4043/32372-ms","title":"SIIBED: An Updated Subsea Iceberg Risk Model for the Grand Banks","year":2023,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Subsea; Iceberg; Sink (geography); Risk model; Marine engineering; Oceanography; Engineering; Geology; Risk analysis (engineering); Geography; Business; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002445312,0.0003268672,0.0003075301,0.0004782802,0.0002223025,0.00006415144,0.001106732,0.0005751575,0.00002441556],"category_scores_gemma":[0.000132355,0.0002594767,0.00007962489,0.001017196,0.0003038184,0.0001376603,0.000135322,0.0006876203,0.00006633997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003515211,"about_ca_system_score_gemma":0.00003526934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006486204,"about_ca_topic_score_gemma":0.0001026858,"domain_scores_codex":[0.9985505,0.000009195089,0.0002646655,0.000389595,0.0001444612,0.0006415721],"domain_scores_gemma":[0.9986877,0.0001176959,0.00004456794,0.000978921,0.0001130046,0.00005810942],"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":[0.00005333816,0.00007262696,0.003869307,0.0001185169,0.0005393611,0.00003277645,0.0009049614,0.5096294,0.008744651,0.09017412,0.04455412,0.3413068],"study_design_scores_gemma":[0.0003280744,0.00006880653,0.0007334559,0.000013951,0.00006147451,0.000005876982,0.0002059287,0.9702458,0.007150304,0.01241715,0.008424492,0.0003446398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.647527,0.0006937505,0.3216267,0.002479003,0.0006821781,0.0008351031,0.0002354428,0.02516996,0.000750932],"genre_scores_gemma":[0.9951863,0.0005887516,0.0032096,0.00001577059,0.00003779185,0.0003278102,0.00009977635,0.00007674307,0.0004574777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4606164,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316551715026262,"score_gpt":0.2384562147026427,"score_spread":0.2152906975523801,"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."}}