{"id":"W6890344798","doi":"10.34943/4604b2b9-7e5e-4114-a584-7ef73a3d726f","title":"Fraser River Delta Upper Slope Profiling Sonar Deployed 2023-03-16","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonar; Profiling (computer programming); Underwater; Delta; River delta; Digital elevation model; High resolution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000834549,0.001714128,0.0009149043,0.002507039,0.0009797809,0.001405551,0.002528953,0.001279733,0.02255975],"category_scores_gemma":[0.002769381,0.0004242664,0.0005784379,0.005098599,0.0004169233,0.0008744693,0.00114707,0.001259934,0.04625252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622821,"about_ca_system_score_gemma":0.004146053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3432253,"about_ca_topic_score_gemma":0.4806725,"domain_scores_codex":[0.9991875,0.00008216692,0.0000559421,0.0001712735,0.0003217235,0.0001813207],"domain_scores_gemma":[0.9983729,0.0001656147,0.00009589342,0.0002917794,0.0009141313,0.000159583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004841124,0.00001903553,0.001442278,0.0001650357,0.00001333701,0.00003639119,0.00003095779,0.0006390158,0.0001456043,0.0004328768,0.9936612,0.003365963],"study_design_scores_gemma":[0.00009866474,0.00001577384,0.008569841,0.000209046,0.00001322907,0.00005706913,0.0002046248,0.001581243,0.0005784174,0.0008899767,0.9877407,0.00004138285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003051674,0.00002949818,0.0001161653,0.00005196478,0.00002000444,0.00001185018,0.998028,0.0003420472,0.001095388],"genre_scores_gemma":[0.0006885547,0.00002245714,0.0003564355,0.00001695604,0.000003322879,0.00003113189,0.9980559,0.00004074895,0.0007844939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3432253,"threshold_uncertainty_score":0.682455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135600800601451,"score_gpt":0.2241706533125215,"score_spread":0.212814645306507,"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."}}