{"id":"W6948799686","doi":"10.5281/zenodo.10167294","title":"Devia prospera","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Willow; Litter; Swamp; Plant litter; Humus; Table (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002597527,0.0008788418,0.000523156,0.002565435,0.002409521,0.001049826,0.0007208532,0.0005357966,0.09281585],"category_scores_gemma":[0.0004051022,0.0003693674,0.0002748388,0.0009501686,0.0007560955,0.001360837,0.001971636,0.001263574,0.04521231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000658133,"about_ca_system_score_gemma":0.0005553984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005625484,"about_ca_topic_score_gemma":0.02219852,"domain_scores_codex":[0.9997546,0.00003000468,0.00001642094,0.00009801705,0.00006228454,0.0000385764],"domain_scores_gemma":[0.9998373,0.00002056888,0.00003837037,0.00001892391,0.00003926655,0.00004560994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001868923,0.0001175986,0.005606276,0.0005662745,0.00002023706,0.001132115,0.001115691,0.000190319,0.004380221,0.01576449,0.1604448,0.8104751],"study_design_scores_gemma":[0.000007815206,0.00003380249,0.007004932,0.0001327443,0.000008352266,0.0006781718,0.0002595035,0.00004779585,0.0002467807,0.0008488481,0.9907224,0.000008906098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01952537,0.007931558,0.002695375,0.0008461305,0.001025421,0.0003845419,0.007502358,0.0009504985,0.9591387],"genre_scores_gemma":[0.340567,0.006390756,0.01412039,0.002914146,0.000714894,0.000588315,0.01275724,0.000450118,0.6214972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09281585,"threshold_uncertainty_score":0.3105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430042757883889,"score_gpt":0.2220544155846043,"score_spread":0.1877539880057654,"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."}}