{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005907419,0.0001270464,0.0001741655,0.0006196634,0.002164055,0.002308143,0.002716525,0.00005402725,0.03012687],"category_scores_gemma":[0.005786273,0.0001141783,0.00007886531,0.002739298,0.0001652259,0.0005581916,0.00343261,0.0002050818,0.2003912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007335305,"about_ca_system_score_gemma":0.000003121073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000169541,"about_ca_topic_score_gemma":5.545186e-7,"domain_scores_codex":[0.9964058,0.0006746226,0.0004600265,0.0006227228,0.001387392,0.0004494015],"domain_scores_gemma":[0.9978692,0.0001696367,0.000142615,0.001047969,0.0005628652,0.000207691],"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":[0.00001763857,0.00004124294,0.000003379486,0.000008178072,0.0000139096,0.00001547921,0.0004915037,0.00004737982,0.0003106806,0.01461177,0.778654,0.2057848],"study_design_scores_gemma":[0.0002803453,0.00008540405,0.001362975,0.000007612022,0.000006435683,0.00001652722,0.001588558,0.0006129828,0.0001004762,0.005370008,0.9904304,0.0001383401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04386787,0.00005834443,0.0215436,0.01624035,0.0008072557,0.001075414,0.001399605,0.004720156,0.9102874],"genre_scores_gemma":[0.9378321,0.0002250556,0.0005766733,0.001323063,0.0004378552,1.115291e-7,0.004417769,0.001740023,0.05344738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8939642,"threshold_uncertainty_score":0.999135,"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."}}