{"id":"W1600852968","doi":"","title":"SeaScribe: An annotation software for Remotely Operated Vehicle dive operations","year":2013,"lang":"en","type":"article","venue":"2013 OCEANS - San Diego","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria","funders":"","keywords":"Remotely operated underwater vehicle; Remotely operated vehicle; Software; Government (linguistics); Computer science; Engineering; World Wide Web; Operating system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001849358,0.0001760211,0.0001603915,0.0001177147,0.0005132759,0.0004875993,0.0003541057,0.0001017694,0.006543152],"category_scores_gemma":[0.0001541268,0.000146941,0.00004396151,0.0002993733,0.0001007028,0.00114527,0.00002218201,0.0001600974,0.001428288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001445115,"about_ca_system_score_gemma":0.0001243902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008411762,"about_ca_topic_score_gemma":0.0147929,"domain_scores_codex":[0.9984069,0.0001104165,0.0002427439,0.0003892364,0.0003291366,0.0005216074],"domain_scores_gemma":[0.9986353,0.0001321796,0.00002863973,0.0003055939,0.0005923874,0.0003059223],"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":[0.000158495,0.0002899987,0.1688141,0.0001287278,0.0001580227,0.00002017675,0.004969759,0.4198634,0.007837554,0.00006111262,0.2194348,0.1782639],"study_design_scores_gemma":[0.0004931002,0.0003472357,0.1228631,0.00001054694,0.00001718101,0.000004309917,0.0004454934,0.8725853,0.0004081964,0.0006498545,0.001913311,0.0002623887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471832,0.00014532,0.04892692,0.0006674072,0.0002462434,0.001385253,0.0005986137,0.000193801,0.0006532286],"genre_scores_gemma":[0.9711506,0.00002727574,0.02419613,0.0003993382,0.0001745919,0.00001428499,0.001795293,0.00001612686,0.002226337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4527219,"threshold_uncertainty_score":0.9993492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530934922197859,"score_gpt":0.2712971899078016,"score_spread":0.235987840685823,"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."}}