{"id":"W6948828368","doi":"10.5281/zenodo.10167355","title":"Oxypoda pseudolacustris Klimaszewski","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Sphagnum; Litter; Plant litter; Alder; Beech; Epiphyte; Habitat","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":[0.00009356594,0.0007840145,0.0001918847,0.002356013,0.0007206512,0.0004055245,0.0003163735,0.0002196464,0.0105904],"category_scores_gemma":[0.0001123948,0.0002353168,0.0002715714,0.0009193969,0.0003019972,0.0008552518,0.0006071852,0.0003145387,0.004248067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000579014,"about_ca_system_score_gemma":0.0003026397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046817,"about_ca_topic_score_gemma":0.02317153,"domain_scores_codex":[0.9999198,0.000004152333,0.00001218399,0.0000312027,0.00001894302,0.00001373606],"domain_scores_gemma":[0.9999474,0.000004015153,0.00002150736,0.000004463926,0.00001489693,0.000007744621],"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":[0.00067098,0.0002744544,0.06706518,0.001904662,0.0001276099,0.001239469,0.00181129,0.001128026,0.1104469,0.006028923,0.021423,0.7878796],"study_design_scores_gemma":[0.00005864019,0.0002693598,0.658666,0.0004478926,0.0001560785,0.00268605,0.001298457,0.0005282799,0.004334523,0.00110078,0.3304082,0.00004568815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6556327,0.02655501,0.007653774,0.0005608115,0.0005386518,0.0007002383,0.01738664,0.001001514,0.2899706],"genre_scores_gemma":[0.9035062,0.007364788,0.007608117,0.0003936613,0.0001168445,0.0002616252,0.01075564,0.00005657481,0.06993651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105904,"threshold_uncertainty_score":0.0354284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2527913849439855,"score_gpt":0.3772897208885647,"score_spread":0.1244983359445792,"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."}}