{"id":"W6968344359","doi":"10.5281/zenodo.4546081","title":"Penthetria arizonensis Fitzgerald 2021, n. sp.","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malaise; National monument; Terminalia; Oral history","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001378175,0.000825567,0.0003527961,0.001302833,0.001718579,0.0006299696,0.0009429388,0.00072541,0.01402168],"category_scores_gemma":[0.0003077472,0.0002617063,0.0002247854,0.000818093,0.0005958118,0.001146326,0.0007694894,0.0007725997,0.00475342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009529542,"about_ca_system_score_gemma":0.0005365231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04832758,"about_ca_topic_score_gemma":0.1168418,"domain_scores_codex":[0.9998759,0.000009008653,0.000007804626,0.00005162793,0.00003558964,0.00002000915],"domain_scores_gemma":[0.9998885,0.00002228692,0.00003287416,0.00001327747,0.0000332514,0.000009718548],"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":[0.000838317,0.0002471468,0.03634552,0.000608907,0.0001392368,0.008417896,0.002250136,0.0030878,0.0527387,0.01812089,0.0788412,0.7983643],"study_design_scores_gemma":[0.0001541316,0.0001854677,0.289233,0.0007527263,0.0003876296,0.01077117,0.003253622,0.003198838,0.007321884,0.006176952,0.6784773,0.00008728635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2589067,0.01486088,0.0137777,0.002099351,0.001031695,0.000835631,0.007679507,0.001110119,0.6996984],"genre_scores_gemma":[0.8482257,0.004278378,0.0106843,0.001708678,0.0001632514,0.0002564154,0.004133575,0.0001024825,0.1304473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04832758,"threshold_uncertainty_score":0.09609252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03510633246749159,"score_gpt":0.2484308331045849,"score_spread":0.2133245006370934,"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."}}