{"id":"W6930241999","doi":"10.5281/zenodo.11712112","title":"Reckless elsie silver pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paraphernalia; Gloom; Ridiculous; Filter (signal processing)","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":[0.0002463419,0.0001564771,0.0001388904,0.00005781108,0.0004762134,0.0006974151,0.0007059554,0.0001545671,0.2499468],"category_scores_gemma":[0.00006398243,0.00007677866,0.00006367882,0.0003368501,0.00005493288,0.0000275743,0.0006241378,0.0002451197,0.1290254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002975862,"about_ca_system_score_gemma":6.157911e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006509316,"about_ca_topic_score_gemma":0.000005952576,"domain_scores_codex":[0.998831,0.00009393733,0.0001349074,0.0004030377,0.0002590951,0.0002780188],"domain_scores_gemma":[0.9996077,0.00001292801,0.00007075586,0.0001008897,0.00008481683,0.0001229403],"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":[0.000004159438,0.00001898691,4.167762e-7,0.00003693667,0.00002279704,0.00001183874,0.00003754344,3.980377e-7,0.007185733,0.0004885728,0.9092469,0.08294571],"study_design_scores_gemma":[0.00004451654,0.0001098729,0.00006326001,0.0001055888,0.000014701,0.00004029357,0.0000651521,0.00001352258,0.00006379142,0.0001495858,0.9991468,0.0001829662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005838294,0.0005744204,0.000006357453,0.0005103084,0.0002446804,0.0002158457,0.0007324305,0.0006859022,0.9964463],"genre_scores_gemma":[0.01075513,0.0005372923,0.00005001566,0.0001233011,0.001210468,2.610906e-8,0.00421883,0.000740443,0.9823645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1209214,"threshold_uncertainty_score":0.8716527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04247552502276166,"score_gpt":0.2138083900679108,"score_spread":0.1713328650451492,"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."}}