{"id":"W6936461947","doi":"10.57745/g0ac7a","title":"SOC storage potential subsoil percentile 0.85 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":[0.0006713927,0.002586474,0.001504921,0.002669871,0.0005944114,0.00247285,0.001900025,0.001881357,0.09439643],"category_scores_gemma":[0.00495121,0.0004904804,0.00162221,0.00294106,0.0003028065,0.001034647,0.001168185,0.001234567,0.1330156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060243,"about_ca_system_score_gemma":0.001526052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0261921,"about_ca_topic_score_gemma":0.03832196,"domain_scores_codex":[0.9994009,0.00008057243,0.00006505183,0.0002172118,0.0001176382,0.0001186693],"domain_scores_gemma":[0.9984962,0.0004282084,0.0001435475,0.0003357775,0.0004793507,0.0001170033],"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":[0.0001119748,0.00001666116,0.001575802,0.0004035074,0.00004117007,0.0000201873,0.00000883241,0.0004150604,0.00008301377,0.0001925377,0.9939667,0.00316445],"study_design_scores_gemma":[0.0005678654,0.00005518802,0.01658315,0.0005929369,0.00008128818,0.0001798454,0.0001010249,0.001517183,0.0005859004,0.002101503,0.9775752,0.00005889381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001926722,0.00006864306,0.00004489173,0.00003852055,0.00002718387,0.00000493331,0.9986613,0.0003278971,0.0006339612],"genre_scores_gemma":[0.0009778644,0.00006295979,0.000152326,0.00003125335,0.00001868819,0.00003394551,0.9974783,0.00008430232,0.001160353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09439643,"threshold_uncertainty_score":0.3157875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09026317333658507,"score_gpt":0.3549945533979835,"score_spread":0.2647313800613984,"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."}}