{"id":"W2254306352","doi":"","title":"Analysis and Results of 30 Years of Iceberg Management","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Iceberg; Data management; Submarine pipeline; Data science; Computer science; Database; Engineering; Geography; Sea ice; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003024366,0.0004191875,0.0004832973,0.0102788,0.0007175225,0.001278851,0.0005428769,0.0003221231,0.002070608],"category_scores_gemma":[0.006910282,0.0001664908,0.000800482,0.007820383,0.0002621138,0.0006396229,0.0008797709,0.0002201842,0.001249262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827478,"about_ca_system_score_gemma":0.001748534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06599285,"about_ca_topic_score_gemma":0.0955044,"domain_scores_codex":[0.9970438,0.0003247893,0.0003949289,0.0003792894,0.0014262,0.0004309716],"domain_scores_gemma":[0.988547,0.002287178,0.002115564,0.0004434565,0.005982862,0.0006240638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002704601,0.0001092863,0.9529305,0.0001948042,0.0001679631,0.0002359324,0.001712093,0.001619913,0.0006393442,0.0002215955,0.003324295,0.03857375],"study_design_scores_gemma":[0.000001512103,0.00006152815,0.9925442,0.00002809709,0.00003267118,0.00007939723,0.001084689,0.0004115411,0.0004305221,0.00003601842,0.005275475,0.0000143829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533423,0.001324434,0.001134615,0.00008891034,0.00002381903,0.0001211739,0.03248376,0.0001009934,0.01137997],"genre_scores_gemma":[0.9416095,0.00109348,0.001901137,0.00005251617,0.000030141,0.0001515422,0.04761773,0.00005738754,0.007486438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06599285,"threshold_uncertainty_score":0.1312175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005041769499114466,"score_gpt":0.1901099342915726,"score_spread":0.1850681647924581,"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."}}