{"id":"W6893710095","doi":"10.5281/zenodo.4427074","title":"Sternidius alpha","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Type locality; Type (biology); Paratype; Type specimen","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":[0.0001307012,0.00009537256,0.00009607655,0.00005002669,0.0005017918,0.0002210925,0.0004791481,0.00003766891,0.01220885],"category_scores_gemma":[0.0001384756,0.0001031985,0.00003230097,0.0002643975,0.00004108751,0.0001239554,0.0003099301,0.0002021718,0.005575754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004073434,"about_ca_system_score_gemma":8.164571e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001909471,"about_ca_topic_score_gemma":7.892197e-8,"domain_scores_codex":[0.9991441,0.00009048936,0.0001464455,0.0002078117,0.0001812693,0.0002299343],"domain_scores_gemma":[0.9994866,0.00001227533,0.00001696263,0.000216703,0.00009374689,0.0001737591],"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":[0.00008325479,0.00008206164,0.00000708199,0.000260382,0.00005203121,0.00002409981,0.003217294,0.001537033,0.1731809,0.0009974253,0.506605,0.3139534],"study_design_scores_gemma":[0.0003026075,0.0002416511,0.0003475671,0.00001400078,0.000006786644,0.00002029024,0.00006742912,0.01419591,0.007130567,0.00007864171,0.9774535,0.0001410462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319686,0.0004457877,0.007079836,0.001829404,0.0001576947,0.0004956021,0.0001209126,0.004871933,0.2530302],"genre_scores_gemma":[0.9984331,0.00005001909,0.000177924,0.0001330448,0.0001179532,1.272127e-8,0.0002717474,0.0007026618,0.0001135128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708484,"threshold_uncertainty_score":0.9951985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909034440779076,"score_gpt":0.209017199544195,"score_spread":0.1799268551364042,"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."}}