{"id":"W6909171848","doi":"10.34943/d5fb16a4-b21e-4100-90ec-50c8fad0cb40","title":"Fraser River Delta Upper Slope Profiling Sonar Deployed 2016-10-09","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0009889113,0.001908013,0.001562228,0.00009678677,0.0009913718,0.0002601561,0.00231189,0.001998842,0.001313363],"category_scores_gemma":[0.00009056399,0.001663973,0.0009320518,0.0008227882,0.0008539067,0.0004364011,0.0007967663,0.002543839,0.0002158204],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003658488,"about_ca_system_score_gemma":0.007388302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4452953,"about_ca_topic_score_gemma":0.5248411,"domain_scores_codex":[0.9908117,0.0004042384,0.001273747,0.002160315,0.002284337,0.003065661],"domain_scores_gemma":[0.9939539,0.0005047259,0.001101738,0.00259841,0.0006205666,0.001220589],"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":[0.0000818302,0.00007374224,0.0003120657,0.0001319963,0.001093467,0.0001798715,0.00002162826,0.002985587,0.000001535556,0.000006523115,0.9947233,0.000388472],"study_design_scores_gemma":[0.001470384,0.00004205664,0.0000843684,0.0005239449,0.0006209112,0.0000162156,0.0001429674,0.002919391,0.000005882161,0.00001452859,0.9919891,0.002170247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000212464,0.004178379,0.0001599811,0.0001935343,0.002410709,0.001330453,0.9911191,0.0003425478,0.00005285508],"genre_scores_gemma":[0.0001126561,0.002250993,0.0008205401,0.002194798,0.004121908,0.00006479694,0.985103,0.0007913787,0.004539908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0795458,"threshold_uncertainty_score":0.9997573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00838366902839549,"score_gpt":0.213590083181686,"score_spread":0.2052064141532905,"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."}}