{"id":"W6945034636","doi":"10.21233/tr20-jj88","title":"Lake Superior/Thunder Bay water chemistry 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; Bay; Biogeosciences; Hydrology (agriculture); Paleolimnology; Water chemistry","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","insufficient_payload"],"category_scores_codex":[0.00175884,0.002398711,0.002205833,0.0003211257,0.0007372104,0.0005565503,0.004768011,0.002603804,0.2482705],"category_scores_gemma":[0.00147318,0.001681348,0.0005217442,0.0005480395,0.002210305,0.0007466011,0.005038736,0.00315245,0.1728198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000385968,"about_ca_system_score_gemma":0.0004321302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019335,"about_ca_topic_score_gemma":0.008598153,"domain_scores_codex":[0.9881802,0.0007837793,0.001828585,0.00400935,0.001919846,0.003278199],"domain_scores_gemma":[0.9895177,0.0004871193,0.0005381765,0.007605742,0.0003302694,0.001520994],"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":[0.0009559316,0.001398486,0.0001815009,0.0006852351,0.0002812131,0.004841054,0.000005880217,9.295124e-7,0.003317107,0.000001038781,0.9882908,0.00004076188],"study_design_scores_gemma":[0.00195618,0.0005020265,0.0006334445,0.0001716519,0.0006382487,0.0005169059,0.00001733859,0.00001162032,0.001918701,0.00002422086,0.9910936,0.002516033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007981758,0.0001259465,0.000003500368,0.0001484723,0.00109718,0.001683863,0.9880059,0.0006608766,0.0002924701],"genre_scores_gemma":[0.0001833647,0.0001587663,0.0003614171,0.002041321,0.002534693,0.0008561647,0.9932373,0.0002625224,0.0003644176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07545063,"threshold_uncertainty_score":0.9991473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778007220117409,"score_gpt":0.2879465791948306,"score_spread":0.2601665069936565,"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."}}