{"id":"W4414129056","doi":"10.1007/s11802-025-5937-5","title":"Iceberg Draft Prediction Using Several Tree-Based Machine Learning Models","year":2025,"lang":"en","type":"article","venue":"Journal of Ocean University of China","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Iceberg; Subsea; Submarine pipeline; Arctic; Random forest","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":[0.0003567308,0.00008711777,0.0001866527,0.0001105585,0.0001986474,0.000009490819,0.0002278966,0.00006543315,0.0001950879],"category_scores_gemma":[0.00004460582,0.00008452914,0.000125671,0.0002357465,0.0001525099,0.000296947,0.00009497532,0.0003111541,0.000001771079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381541,"about_ca_system_score_gemma":0.00003870803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002418342,"about_ca_topic_score_gemma":0.00001751602,"domain_scores_codex":[0.9992114,0.0001016472,0.0001836199,0.0001116555,0.0002578867,0.0001337487],"domain_scores_gemma":[0.9995015,0.00003775803,0.0002912378,0.0000782456,0.00002199982,0.00006930269],"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":[0.0001560999,0.0000696539,0.04564754,0.000008438165,0.00002134334,0.00002874546,0.0002809041,0.9515872,0.00112163,0.00001580676,0.0002442258,0.0008184392],"study_design_scores_gemma":[0.0008589684,0.0002123234,0.02517724,0.00008933531,0.00007860316,0.00001689141,0.00003841666,0.9716634,0.0001833602,0.000670496,0.0009389623,0.00007200034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944638,0.0000162442,0.05059484,0.0002780841,0.00008307231,0.00003470882,0.000003406735,0.00001665909,0.004335051],"genre_scores_gemma":[0.9927999,0.000006537653,0.006563833,0.00004119336,0.00001478908,1.534359e-9,0.000001362607,0.000004190471,0.0005682252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04816194,"threshold_uncertainty_score":0.3446998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593375431721941,"score_gpt":0.1989967691052114,"score_spread":0.183063014787992,"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."}}