{"id":"W6898806708","doi":"10.57745/zhvaba","title":"SOC storage potential subsoil percentile 0.90 upper limit of 90PI.tif","year":2022,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society; International Development Research Centre","funders":"","keywords":"Subsoil; Limit (mathematics); Percentile; Asymptote; Hydrology (agriculture)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007054365,0.003119488,0.001579905,0.002815823,0.0007542335,0.00269441,0.002045035,0.002178093,0.06975076],"category_scores_gemma":[0.004805835,0.0005358531,0.001909902,0.002850498,0.0003581052,0.001124083,0.001272401,0.001379481,0.1195758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196722,"about_ca_system_score_gemma":0.001712773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02546229,"about_ca_topic_score_gemma":0.04235753,"domain_scores_codex":[0.9992718,0.00008841682,0.00007800287,0.00024543,0.0001656038,0.0001507887],"domain_scores_gemma":[0.9984669,0.000387215,0.0001351466,0.0003846769,0.0004982963,0.0001277904],"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":[0.0001402653,0.00001983086,0.001725963,0.0004242494,0.00004057852,0.00002499627,0.000009069658,0.0005759135,0.0001314591,0.0002222137,0.9934818,0.0032037],"study_design_scores_gemma":[0.0006005915,0.00006443944,0.01672953,0.000523421,0.00008123511,0.0002324361,0.000100449,0.002470937,0.0009925549,0.002627317,0.9755069,0.00007022011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002768409,0.00009549698,0.00006735688,0.00004748595,0.00003617819,0.000006226467,0.9980512,0.0006200509,0.0007991523],"genre_scores_gemma":[0.0010819,0.00005989552,0.0001920078,0.00003581781,0.00001601276,0.00002750616,0.9975742,0.00009594846,0.0009167516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06975076,"threshold_uncertainty_score":0.2333395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08630238256227789,"score_gpt":0.3504438328299227,"score_spread":0.2641414502676448,"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."}}