{"id":"W4404909983","doi":"10.1007/978-3-031-78447-7_17","title":"MarUCOD: Unknown but Concerned Object Detection in Maritime Environments","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Computer science; Object (grammar); Computer vision; Artificial intelligence","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":[0.0006762529,0.001793852,0.001704358,0.0007232146,0.0005727218,0.0015491,0.003089627,0.001812203,0.005613877],"category_scores_gemma":[0.001322714,0.000710629,0.0008294872,0.0007325002,0.0005604556,0.001480987,0.002620639,0.001453216,0.004043797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321084,"about_ca_system_score_gemma":0.0008091963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002888595,"about_ca_topic_score_gemma":0.005177377,"domain_scores_codex":[0.9993588,0.00007950003,0.00001784208,0.0002307705,0.0002281659,0.00008484957],"domain_scores_gemma":[0.9995763,0.0001108905,0.00002485175,0.0001168165,0.0001220747,0.00004908198],"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":[0.000753038,0.0001259872,0.001099285,0.0003707217,0.0001343443,0.0003903594,0.00007015652,0.02724404,0.03367895,0.00939598,0.07495438,0.8517828],"study_design_scores_gemma":[0.00006024467,0.0002567589,0.001839785,0.00007291475,0.00005915831,0.001018495,0.0000669351,0.8576102,0.05199352,0.01775999,0.06918944,0.0000725924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01336143,0.002674847,0.9529511,0.0002858192,0.0008817836,0.0001207938,0.0009357919,0.02104671,0.00774166],"genre_scores_gemma":[0.1093743,0.0009407086,0.8617536,0.0004030232,0.0003096898,0.000153779,0.002900605,0.001653407,0.02251095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005613877,"threshold_uncertainty_score":0.01878023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298015442975818,"score_gpt":0.240839933948181,"score_spread":0.2278597795184228,"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."}}