{"id":"W4396229019","doi":"10.3390/rs16091567","title":"Ship Detection in Maritime Scenes under Adverse Weather Conditions","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Adverse weather; Environmental science; Oceanography; Remote sensing; Meteorology; Geology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003238651,0.0005233318,0.0004594741,0.0007769428,0.0002751812,0.0005446354,0.0005167058,0.0005316029,0.0006545182],"category_scores_gemma":[0.0007598621,0.0002081235,0.00039458,0.0005491687,0.0002542623,0.0005370206,0.0005610382,0.0004168715,0.0003961679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171893,"about_ca_system_score_gemma":0.0004652789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008156121,"about_ca_topic_score_gemma":0.01348711,"domain_scores_codex":[0.9997503,0.00001868587,0.000008289124,0.00008546848,0.00007530032,0.00006187299],"domain_scores_gemma":[0.9997658,0.00006363193,0.00003682021,0.00003800216,0.00006650989,0.00002918693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001016596,0.0004557847,0.1115439,0.0003150073,0.0002914001,0.001880144,0.000336889,0.3200992,0.2159846,0.001116771,0.007866325,0.3390933],"study_design_scores_gemma":[0.00001712954,0.000114187,0.05652491,0.00001288429,0.00003044279,0.0002996789,0.0001197946,0.9024772,0.03858375,0.000549475,0.001250563,0.00002000495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100245,0.0002312167,0.08454583,0.0001331458,0.00009081396,0.000068897,0.0008221189,0.001571554,0.002511927],"genre_scores_gemma":[0.9711362,0.0001385895,0.02653103,0.00004031169,0.00001707256,0.00001297123,0.001337551,0.00004772362,0.000738555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008156121,"threshold_uncertainty_score":0.01621729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211027970595427,"score_gpt":0.2789985816599827,"score_spread":0.25789578460044,"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."}}