{"id":"W3208211986","doi":"10.1016/j.marpol.2021.104839","title":"A method for evaluating operational implications of regulatory constraints on Arctic shipping","year":2021,"lang":"en","type":"article","venue":"Marine Policy","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Memorial University of Newfoundland","funders":"Lloyd's Register Foundation","keywords":"Arctic; Flexibility (engineering); Operations research; Computer science; Fuel efficiency; Constraint (computer-aided design); The arctic; Maritime safety; Time constraint; Maritime industry; Search and rescue; Risk analysis (engineering); Business; Engineering; Economics; Oceanography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003836623,0.00007819374,0.0001282173,0.00006497588,0.0001523364,0.00001913008,0.00008892067,0.00003406126,0.001629807],"category_scores_gemma":[0.00054887,0.00007320318,0.00006380228,0.0001757411,0.00007592307,0.00005376651,0.00002162848,0.00007241659,0.0000129012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001375523,"about_ca_system_score_gemma":0.0004365645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142125,"about_ca_topic_score_gemma":0.0002850645,"domain_scores_codex":[0.9992239,0.00007062969,0.000212591,0.0001781197,0.0001372654,0.0001774939],"domain_scores_gemma":[0.9990004,0.0005441444,0.00007497103,0.0001637899,0.0001541994,0.00006254362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003467901,0.00004429961,0.2037319,0.0001258579,0.00006103978,0.0000014171,0.0003199707,0.006641968,0.0004772405,0.1204865,0.00007534547,0.6679997],"study_design_scores_gemma":[0.0003961356,0.0001135032,0.9066802,0.00003596773,0.00002841813,0.00005179729,0.0001864088,0.0613546,0.0001760298,0.03044064,0.0004122143,0.0001241413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7330666,0.00006301995,0.1184997,0.03277703,0.0003407268,0.0009933956,0.0006714425,0.00008815007,0.1134999],"genre_scores_gemma":[0.8903502,0.000004661628,0.1073966,0.00141962,0.0001517761,0.000004287962,0.0002155567,0.000003273609,0.000454009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7029483,"threshold_uncertainty_score":0.9992828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04148222405150615,"score_gpt":0.3402665704863841,"score_spread":0.298784346434878,"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."}}