{"id":"W78078596","doi":"10.1007/978-94-010-0093-2_7","title":"Towards an Approach for the Assessment of Risk Associated with Submarine Mass Movements","year":2003,"lang":"en","type":"book-chapter","venue":"Advances in natural and technological hazards research","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Submarine; Submarine pipeline; Environmental resource management; Mass movement; Environmental science; Environmental planning; Risk analysis (engineering); Geology; Engineering; Marine engineering; Business; Oceanography; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001394144,0.0002563878,0.0004110034,0.0002139035,0.0002249032,0.00004271037,0.0005349249,0.0003347922,0.00009610292],"category_scores_gemma":[0.0003119789,0.0001285809,0.00006592467,0.0002448944,0.001050969,0.0001639416,0.0001298775,0.001592124,3.974918e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002856552,"about_ca_system_score_gemma":0.00006335603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002602515,"about_ca_topic_score_gemma":0.003387415,"domain_scores_codex":[0.9979061,0.00008289397,0.0002891349,0.0005110451,0.0007522575,0.0004585899],"domain_scores_gemma":[0.9985822,0.0006915875,0.0001558429,0.0002848534,0.0002178216,0.0000677229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001430415,0.00005407596,0.03086707,0.00006010486,0.00006047917,0.00001197118,0.000005719165,0.0004646825,0.000001769339,0.03583106,0.000008113308,0.9324919],"study_design_scores_gemma":[0.00200649,0.00320984,0.1792116,0.0002000501,0.00007217807,0.0000145073,0.0003493039,0.1656983,0.00002098579,0.6055618,0.04275623,0.000898607],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03628127,0.03012052,0.008563156,0.0007875412,0.0004260959,0.006248006,0.003684425,0.0002931752,0.9135958],"genre_scores_gemma":[0.9518897,0.0177336,0.009854724,0.0000350059,0.00003437771,0.00003897844,0.0008165983,0.00001520192,0.01958184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9315933,"threshold_uncertainty_score":0.6917076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517847982345408,"score_gpt":0.3055636399289433,"score_spread":0.2803851601054892,"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."}}