{"id":"W6898624874","doi":"10.57745/oy4idg","title":"Carbon Landscape Zones.tif","year":2022,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society; International Development Research Centre","funders":"","keywords":"Carbon fibers; Climate change; Carbon cycle; Carbon sink; Greenhouse gas","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.00837071,0.001177943,0.001399805,0.0004987033,0.0002676796,0.0002002165,0.01073173,0.001890492,0.04884341],"category_scores_gemma":[0.00479296,0.001273087,0.0001725679,0.002507475,0.000203188,0.0004967477,0.005683247,0.008138216,0.007518053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009484598,"about_ca_system_score_gemma":0.001147957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006465866,"about_ca_topic_score_gemma":0.001733507,"domain_scores_codex":[0.9897193,0.003401904,0.000978644,0.002900586,0.001724869,0.001274706],"domain_scores_gemma":[0.9827282,0.001634896,0.0008659115,0.01429929,0.0001413097,0.0003304033],"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":[0.00009520278,0.0002926103,0.00004230505,0.0004033661,0.0002447448,0.0002150753,0.00003884771,0.00002496946,0.0000317392,0.000002828761,0.9970977,0.001510579],"study_design_scores_gemma":[0.0007801773,0.00006712447,0.00007282013,0.0001345862,0.0003777202,0.00007184319,0.00005927457,0.0006059955,0.00001050831,0.00007429097,0.9963412,0.001404426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005993508,0.008874627,0.00000846996,0.000175389,0.001824007,0.0008662757,0.986589,0.0004553327,0.001146994],"genre_scores_gemma":[0.000001083825,0.003583146,0.001337236,0.0004329477,0.0009965574,0.0003050872,0.9902947,0.000399989,0.002649282],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04132536,"threshold_uncertainty_score":0.9994053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2828086997250531,"score_gpt":0.4012256227889547,"score_spread":0.1184169230639016,"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."}}