{"id":"W6927801789","doi":"10.34943/095cc4f3-70bf-403d-94fa-076c6ae5fac3","title":"Fraser River Delta Upper Slope Profiling Sonar Deployed 2016-05-03","year":2016,"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":[0.0009943667,0.00192104,0.001577153,0.00009843714,0.001012516,0.0002602668,0.002307652,0.00201182,0.000580451],"category_scores_gemma":[0.00008569299,0.001671354,0.0009292542,0.0008438035,0.0008717015,0.0004446307,0.0007976472,0.002857544,0.0001747391],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003735955,"about_ca_system_score_gemma":0.007369759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4993172,"about_ca_topic_score_gemma":0.5634985,"domain_scores_codex":[0.9907224,0.0004159579,0.001281175,0.002175493,0.002289271,0.003115742],"domain_scores_gemma":[0.9939832,0.0005033509,0.001100353,0.002598037,0.0005747274,0.001240329],"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":[0.00006590071,0.0000740008,0.0004422028,0.00014113,0.001124223,0.0002365022,0.00002540717,0.003167656,0.000001904774,0.000008926781,0.9944318,0.0002803381],"study_design_scores_gemma":[0.001499433,0.0000414295,0.0001044025,0.000550016,0.0006286703,0.00002338299,0.0001664241,0.002915962,0.000006341965,0.00001855582,0.9918565,0.002188928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002859289,0.004101536,0.0001658836,0.0002255224,0.003382991,0.001396782,0.9900584,0.0003437417,0.00003925012],"genre_scores_gemma":[0.0002151893,0.002695685,0.0009347553,0.003507122,0.004159811,0.00006344306,0.9856666,0.0008188311,0.001938518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06418133,"threshold_uncertainty_score":0.9994429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008343548083391637,"score_gpt":0.21344415739151,"score_spread":0.2051006093081184,"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."}}