{"id":"W6893977028","doi":"10.5281/zenodo.6533601","title":"Priocnemella hexagona","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Willow Biosciences (Canada)","funders":"","keywords":"Dorsum; National forest; State (computer science); Base (topology)","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004296103,0.00008147252,0.00008406091,0.00002749666,0.004628853,0.0002914752,0.0009334817,0.00001841892,0.1220046],"category_scores_gemma":[0.000124093,0.00004410521,0.00004684742,0.0005097127,0.00007366284,0.00007464877,0.0017826,0.0001875373,0.003577681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008843307,"about_ca_system_score_gemma":5.905053e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003493131,"about_ca_topic_score_gemma":0.000001187462,"domain_scores_codex":[0.9986912,0.0002501667,0.0001279065,0.0002834821,0.000388253,0.0002589671],"domain_scores_gemma":[0.9996058,0.00002971978,0.0000530234,0.00009600986,0.0001272766,0.00008811361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005114871,0.0002200661,0.00003235261,0.000006115028,0.00002129693,0.00001066134,0.0008545971,0.00002428889,0.08012851,0.002600075,0.4317597,0.4842912],"study_design_scores_gemma":[0.0001111401,0.0003135581,0.007029485,0.000001617552,0.000003126431,0.00005128168,0.001541499,0.00002516116,0.000269398,0.0001130147,0.990433,0.0001076549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7666793,0.0001399933,0.00001104266,0.003468724,0.0001376106,0.0003693263,0.0002995477,0.0007973908,0.228097],"genre_scores_gemma":[0.9956972,0.00002481271,0.00003379894,0.0002977898,0.0001925687,4.764544e-8,0.000910382,0.00005987495,0.002783511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5586733,"threshold_uncertainty_score":0.9971982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04095116830809554,"score_gpt":0.2119548733569612,"score_spread":0.1710037050488657,"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."}}