{"id":"W6944873594","doi":"10.21233/gbbv-se79","title":"Riviere Gatineau ostracode surface sample dataset","year":2018,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paleoecology; Sample (material); JSON; Hydrology (agriculture); Biogeosciences","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002407228,0.002450291,0.002480987,0.0004101944,0.0008565675,0.0004982069,0.005268079,0.002079776,0.07900515],"category_scores_gemma":[0.008952739,0.002096043,0.0004950417,0.001294944,0.001942284,0.0008346512,0.003919259,0.003363753,0.1202173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005023842,"about_ca_system_score_gemma":0.000640647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722908,"about_ca_topic_score_gemma":0.01589917,"domain_scores_codex":[0.9869426,0.001633836,0.002189651,0.00404948,0.00220618,0.002978247],"domain_scores_gemma":[0.9841953,0.004083027,0.001613603,0.008041646,0.0004227374,0.001643705],"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":[0.0006277962,0.001597705,0.0004951051,0.0004046913,0.000240621,0.002163965,0.000004710675,0.00001525585,0.0002766568,0.00001095384,0.9940634,0.00009910282],"study_design_scores_gemma":[0.001821873,0.0009665085,0.001972699,0.0002164158,0.0006905043,0.0002156237,0.00001883918,0.0001124559,0.0001333488,0.00009226505,0.991289,0.002470436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003923812,0.0002599975,0.00003021742,0.0001098455,0.001426864,0.002735425,0.9906405,0.0007524042,0.0001209683],"genre_scores_gemma":[0.00006618602,0.0003975345,0.008988893,0.001623117,0.001723947,0.0003595644,0.986511,0.0002538013,0.00007594968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04121216,"threshold_uncertainty_score":0.9993953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04142568637026676,"score_gpt":0.325911727338225,"score_spread":0.2844860409679582,"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."}}