{"id":"W6926021723","doi":"10.21233/hf2z-ye48","title":"Lake Ontario/Salmon Point water chemistry dataset","year":2018,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paleoecology; Hydrology (agriculture); Water chemistry; Biogeosciences; Paleolimnology","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0028615,0.0006810956,0.0008591701,0.00008527891,0.001630069,0.0006584637,0.002126717,0.002080975,0.09728937],"category_scores_gemma":[0.002550957,0.0005092198,0.0002653501,0.0001846306,0.001954912,0.0006492386,0.001177505,0.002411673,0.003167792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004999764,"about_ca_system_score_gemma":0.001172601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05075578,"about_ca_topic_score_gemma":0.8912739,"domain_scores_codex":[0.9945148,0.0005769426,0.0007235201,0.001226388,0.001331506,0.001626877],"domain_scores_gemma":[0.9961398,0.0005832715,0.0003101571,0.001605661,0.0003693518,0.0009917635],"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":[0.00008537931,0.0003877133,0.0001024385,0.00008789259,0.00006694456,0.0006761795,0.0004394894,1.216274e-7,0.00002990608,0.00003046886,0.9980451,0.00004838892],"study_design_scores_gemma":[0.0003955253,0.0001825246,0.0003005047,0.0000700989,0.000142158,0.000007922471,0.0001658744,3.101786e-7,0.00006116353,0.0006768779,0.9972072,0.000789843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003323363,0.00002725081,0.000001152566,0.002513462,0.001109967,0.0007406161,0.9864764,0.0001382268,0.005669624],"genre_scores_gemma":[0.0001979434,0.0004406822,0.0001390978,0.003834948,0.002287223,0.0001021991,0.990988,0.00002801899,0.001981893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405181,"threshold_uncertainty_score":0.9998898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044636070416648,"score_gpt":0.3462900313373969,"score_spread":0.3016539609207489,"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."}}