{"id":"W7083590917","doi":"10.1016/j.coldregions.2025.104706","title":"An analytically derived solution for the time history of a ship-ice impact","year":2025,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Capital Regional District; Department of Industry, Energy and Technology; Defence Research and Development Canada; American Bureau of Shipping","keywords":"Indentation; Collision; Work (physics); Deformation (meteorology); Dissipation; Polar; Energy balance; Energy (signal processing)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005577666,0.00006425494,0.0001046624,0.0002455442,0.0002516235,0.00002360512,0.00113484,0.00008774587,0.000002841666],"category_scores_gemma":[0.0005334201,0.00004429351,0.0000273509,0.001267554,0.00172884,0.0001715146,0.0002161121,0.00008155425,9.603543e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050628,"about_ca_system_score_gemma":0.0007059074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000111187,"about_ca_topic_score_gemma":0.000004315743,"domain_scores_codex":[0.9992661,0.00001058106,0.0001145213,0.0002900305,0.00009629489,0.0002224317],"domain_scores_gemma":[0.9988569,0.0001134597,0.00006184348,0.0005664509,0.0003668705,0.00003447773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000058254,0.00005518446,0.0003912846,0.00001541435,0.00001366394,0.000001419066,0.0001192498,0.00002295585,0.484928,0.4923052,0.006263239,0.01587851],"study_design_scores_gemma":[0.0003555015,0.0004222777,0.002509037,0.00005080662,0.00004047605,0.00004038421,0.0001463978,0.7663502,0.04633017,0.1072452,0.07628106,0.0002284827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03838686,0.001404561,0.8622056,0.08801527,0.0003207244,0.0005855599,0.000001926257,0.0003213637,0.008758091],"genre_scores_gemma":[0.9930198,0.00001531583,0.005204577,0.0001810521,0.000005420342,0.00002642617,2.255165e-7,6.074997e-7,0.001546545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.954633,"threshold_uncertainty_score":0.6369984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612890924491956,"score_gpt":0.2578877101859977,"score_spread":0.2417588009410782,"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."}}