{"id":"W6917411240","doi":"10.57745/hzocjt","title":"floresentinelle-data-temp-soil_2023.tab","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bank Note Company (Canada)","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01802212,0.001918224,0.002250706,0.0008714058,0.0003884355,0.0006216391,0.03319234,0.003617681,0.0009314874],"category_scores_gemma":[0.02506027,0.001990644,0.0002477883,0.005592023,0.0005773188,0.002024053,0.02328008,0.008605529,0.4978671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007265137,"about_ca_system_score_gemma":0.001725455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503887,"about_ca_topic_score_gemma":0.007722449,"domain_scores_codex":[0.9831392,0.003729818,0.001967896,0.006120121,0.002672449,0.002370496],"domain_scores_gemma":[0.952314,0.004593168,0.00125939,0.04080366,0.0003986425,0.0006311612],"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":[0.00009538488,0.0002944771,0.00003065639,0.001066116,0.0006382504,0.0004805493,0.00002094525,0.00001442172,0.00008340198,0.000002540121,0.9949608,0.002312436],"study_design_scores_gemma":[0.001020478,0.0000318902,0.0001656227,0.0007860892,0.000637822,0.00004432256,0.00005646185,0.002540633,0.00003011987,0.0001388584,0.9925264,0.002021273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001382939,0.004022521,0.00006905317,0.0006322953,0.004795103,0.001329094,0.9872829,0.001599975,0.0002552],"genre_scores_gemma":[2.080335e-7,0.009865933,0.002875485,0.0003769789,0.00524693,0.0001908807,0.9673231,0.000983139,0.01313731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4969356,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6592706724683673,"score_gpt":0.4930485575512532,"score_spread":0.1662221149171142,"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."}}