{"id":"W7092603309","doi":"10.57745/g2uajt","title":"IPGR-Sadovo_Phenotypic_Barley_raw_Historical.tab","year":2025,"lang":"","type":"dataset","venue":"Recherche Data Gouv France","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Arctic Resources Committee","funders":"","keywords":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007981658,0.002970952,0.001651509,0.003285438,0.0007375066,0.002513075,0.002707962,0.00255069,0.1220813],"category_scores_gemma":[0.003427241,0.0009341051,0.001349549,0.005613277,0.0004431304,0.001396109,0.001542064,0.001664451,0.1346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802017,"about_ca_system_score_gemma":0.001943332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02484081,"about_ca_topic_score_gemma":0.02932167,"domain_scores_codex":[0.9993348,0.00008549865,0.0000530178,0.0002362527,0.0001404022,0.0001500283],"domain_scores_gemma":[0.9985723,0.0004387399,0.0001493105,0.0003939371,0.0002774312,0.0001682155],"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":[0.0001451287,0.00002858926,0.0007642432,0.0008566654,0.0000392706,0.00002504104,0.00002427258,0.0004519082,0.0003144266,0.0005292425,0.9946161,0.002205054],"study_design_scores_gemma":[0.0003805323,0.00003049118,0.004303724,0.0002073659,0.00003202458,0.00004694469,0.00006186365,0.0004845807,0.0007360901,0.001036728,0.9926457,0.00003382305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008943097,0.00003363723,0.00003292665,0.0000234065,0.000009837609,0.000003847892,0.9988582,0.0005167067,0.0004318776],"genre_scores_gemma":[0.0003663646,0.00003671069,0.0001697932,0.00002251181,0.000003989515,0.00002421967,0.9988201,0.0001339708,0.0004222767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8779187,"threshold_uncertainty_score":0.4084027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1878369588551254,"score_gpt":0.3822465812877941,"score_spread":0.1944096224326687,"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."}}