{"id":"W6912346843","doi":"10.5281/zenodo.4349290","title":"Peloptulus Berlese 1908","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boreal; Pinus contorta; Genus; Litter; Taiga","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00132926,0.0001327551,0.0001902658,0.000142809,0.0009693364,0.0004824414,0.0009634088,0.0000774693,0.0449049],"category_scores_gemma":[0.004574068,0.0001289023,0.00006126537,0.0004385446,0.0001734771,0.0001936313,0.001089498,0.0003862364,0.03492431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607307,"about_ca_system_score_gemma":0.000006491692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009602195,"about_ca_topic_score_gemma":4.474441e-7,"domain_scores_codex":[0.9978133,0.0003962974,0.0002729975,0.0004161356,0.0006105499,0.0004906806],"domain_scores_gemma":[0.998288,0.0002309347,0.00006128813,0.0006411573,0.000536604,0.0002420546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001627686,0.0004208965,0.00001709794,0.0004125245,0.00006021909,0.00002666654,0.001297773,0.000009006146,0.002544746,0.6464456,0.1997085,0.1488942],"study_design_scores_gemma":[0.0005856199,0.0002874575,0.0004543112,0.00003546611,0.00001020054,0.0000548742,0.0002153571,0.000761093,0.0002974818,0.08034878,0.9167415,0.0002078936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1559815,0.00006574138,0.02142138,0.001765123,0.0001676122,0.001435412,0.0003631505,0.001450835,0.8173493],"genre_scores_gemma":[0.9849516,0.00003772611,0.004550366,0.0001369229,0.0001099553,7.269542e-8,0.000490427,0.001401732,0.008321215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8289701,"threshold_uncertainty_score":0.9658271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07817585326212888,"score_gpt":0.3101464604549243,"score_spread":0.2319706071927954,"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."}}