{"id":"W6908190666","doi":"10.25625/xn7lqy/o1jqrc","title":"Nmintot.bulk.soil.txt","year":2021,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.009477609,0.001102084,0.001509913,0.001759639,0.000807377,0.0007385591,0.003962476,0.001374806,0.02562166],"category_scores_gemma":[0.01240466,0.001111708,0.0005184333,0.004268057,0.0009560024,0.0002316029,0.004628746,0.008223627,0.1444789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246052,"about_ca_system_score_gemma":0.003557631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00414027,"about_ca_topic_score_gemma":0.01264591,"domain_scores_codex":[0.982589,0.003216013,0.001400012,0.002580868,0.006570298,0.003643774],"domain_scores_gemma":[0.988046,0.001835617,0.0004793821,0.005067039,0.003367751,0.001204245],"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":[0.0001354315,0.001501004,0.00001346076,0.0006995799,0.0004305306,0.002616365,0.00003104994,0.00001329462,0.001044618,0.000005306774,0.991559,0.001950399],"study_design_scores_gemma":[0.0007959597,0.0002500107,0.00007299,0.0007865175,0.0001295767,0.0000982035,0.0002196243,0.0001169157,0.0005417176,0.00008345509,0.9959153,0.0009897245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001039092,0.003289635,8.156615e-7,0.0009964118,0.0006293848,0.001151273,0.9914527,0.0002956752,0.001145007],"genre_scores_gemma":[0.000009040299,0.001965042,0.001216341,0.0002267131,0.005175303,0.0002229378,0.9809808,0.0004632059,0.009740658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1188572,"threshold_uncertainty_score":0.9999216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200679158719328,"score_gpt":0.4924864663273704,"score_spread":0.2918073076080424,"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."}}