{"id":"W6954726352","doi":"10.57745/kvm31y","title":"SOC storage potential subsoil percentile 0.80 mean.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; Percentile; Hydrology (agriculture); Statistical analysis; Exclosure","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":[0.000661333,0.002658828,0.001494349,0.002645425,0.0006085917,0.002473706,0.00190831,0.001906474,0.09465935],"category_scores_gemma":[0.004827864,0.0004917737,0.001653601,0.002831526,0.0003078889,0.001040006,0.001164588,0.001217851,0.1377122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053236,"about_ca_system_score_gemma":0.001507095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02500064,"about_ca_topic_score_gemma":0.03768241,"domain_scores_codex":[0.9994184,0.0000776506,0.00006232062,0.0002105716,0.0001138519,0.0001171815],"domain_scores_gemma":[0.9985537,0.0004065426,0.0001313335,0.0003336924,0.0004597198,0.0001150041],"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":[0.0001154348,0.00001686808,0.001435938,0.0003973892,0.00003941241,0.00002001252,0.000008553449,0.0004052887,0.00008653884,0.0001805789,0.9941258,0.003168079],"study_design_scores_gemma":[0.0005849754,0.0000584911,0.01549717,0.0005716638,0.00008192013,0.0001846875,0.0001008057,0.00165401,0.0006530536,0.002134994,0.9784177,0.00006054802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002001469,0.00007013955,0.00004776114,0.00004019356,0.00002951652,0.000005310808,0.9985673,0.0003882742,0.0006512835],"genre_scores_gemma":[0.00101173,0.00006332015,0.0001616228,0.00003175655,0.00001904271,0.00003430334,0.9974113,0.00009172533,0.001175193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9053407,"threshold_uncertainty_score":0.3166671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08628288596880103,"score_gpt":0.3523968346178263,"score_spread":0.2661139486490253,"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."}}