{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001140929,0.001845541,0.001593151,0.0001287702,0.001108006,0.0003399443,0.002245525,0.001940676,0.0002300583],"category_scores_gemma":[0.0001180384,0.001959931,0.000991129,0.002229459,0.0006538894,0.0003127689,0.001010109,0.004067756,0.0006497393],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004711373,"about_ca_system_score_gemma":0.005620679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8301356,"about_ca_topic_score_gemma":0.8980394,"domain_scores_codex":[0.9903412,0.0003850941,0.001304351,0.002251023,0.002617519,0.003100745],"domain_scores_gemma":[0.9945868,0.0005931394,0.0009077507,0.002319204,0.0004734647,0.001119689],"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":[0.00004434368,0.00006266093,0.0004234948,0.0002243182,0.001270482,0.0003574398,0.00002277082,0.0276038,5.208984e-7,0.000006350712,0.9698815,0.0001023049],"study_design_scores_gemma":[0.0009958757,0.00003309907,0.0002109218,0.0003314913,0.000707737,0.00001355653,0.0005717687,0.01324624,0.000002208747,0.00001780082,0.981792,0.002077325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003499118,0.002700133,0.00006208196,0.0001617638,0.004093355,0.001451075,0.9905229,0.0006234466,0.00003534202],"genre_scores_gemma":[0.00009848909,0.002173,0.000560838,0.002576147,0.003523901,0.00008880288,0.9873295,0.00105634,0.00259299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06790373,"threshold_uncertainty_score":0.9994289,"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."}}