{"id":"W6898695355","doi":"10.57745/g7cywl","title":"SOC storage potential subsoil percentile 0.90 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":[],"consensus_categories":[],"category_scores_codex":[0.0006533583,0.0026022,0.001492716,0.00264309,0.0006037267,0.002450036,0.001887958,0.001868532,0.09412801],"category_scores_gemma":[0.004870957,0.0004853246,0.001614677,0.002921346,0.0003019402,0.001023295,0.001167672,0.001232202,0.1340826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054498,"about_ca_system_score_gemma":0.001525621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02584031,"about_ca_topic_score_gemma":0.03799883,"domain_scores_codex":[0.9994121,0.0000773943,0.00006446303,0.0002119378,0.0001163667,0.0001178215],"domain_scores_gemma":[0.9985216,0.0004129641,0.000141304,0.000338311,0.0004680045,0.000117739],"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":[0.000113778,0.00001632462,0.001481917,0.0003968502,0.00003926866,0.00002014505,0.000008516214,0.0003972845,0.00008251824,0.0001884744,0.9941838,0.003070983],"study_design_scores_gemma":[0.0005617077,0.00005593073,0.01559968,0.0005852386,0.00007823586,0.000181507,0.00009833895,0.001490137,0.0005958246,0.00206933,0.9786259,0.00005809783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001894424,0.00006691791,0.0000434941,0.0000376042,0.0000271851,0.000004991998,0.9986626,0.0003307786,0.0006371174],"genre_scores_gemma":[0.0009539061,0.00006096303,0.0001483771,0.00003079076,0.00001804432,0.00003349441,0.9975429,0.00008285921,0.001128656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09412801,"threshold_uncertainty_score":0.3148896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08984999943366698,"score_gpt":0.3547466894568971,"score_spread":0.2648966900232301,"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."}}