{"id":"W7128698002","doi":"10.26071/a57715a9-cacd-4437","title":"CTD Data for the 2022 COR2212 Cruise in the Saint-Lawrence Estuary","year":2025,"lang":"fr","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Geological Survey of Canada; Université du Québec à Rimouski","funders":"","keywords":"CTD; Estuary; Turbidity; Terrigenous sediment; Water column; Sediment; Plankton","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005976326,0.001362056,0.001207312,0.000418665,0.001941743,0.000888498,0.01735458,0.0009645848,0.0001307085],"category_scores_gemma":[0.003678501,0.0009378018,0.0004533245,0.001618319,0.001590386,0.0006707826,0.004876829,0.003359851,0.0008930895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494746,"about_ca_system_score_gemma":0.002565431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009595177,"about_ca_topic_score_gemma":0.004196018,"domain_scores_codex":[0.9891224,0.002803999,0.00184919,0.002754523,0.00186399,0.001605887],"domain_scores_gemma":[0.9695421,0.0109324,0.001302426,0.01766606,0.0003388061,0.0002182401],"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":[0.0004544418,0.0009480835,0.0003399795,0.0008478322,0.0004842883,0.0009318698,0.0002684797,0.0000996395,0.0003603299,0.0009645054,0.9914973,0.002803292],"study_design_scores_gemma":[0.001082216,0.0002147073,0.001843859,0.00132931,0.001864768,0.000440947,0.00099913,0.002886389,0.00007399752,0.0001137361,0.9881853,0.0009655716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001585079,0.04669551,0.0001032106,0.001863706,0.01054607,0.00492369,0.9338388,0.00009161686,0.001778845],"genre_scores_gemma":[0.0003373756,0.002307452,0.0002820215,0.001740805,0.002993152,0.001910665,0.9757039,0.0001646388,0.01456002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04438806,"threshold_uncertainty_score":0.999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847690752366451,"score_gpt":0.3124754838258771,"score_spread":0.2739985763022126,"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."}}