{"id":"W6892847990","doi":"10.5281/zenodo.12251598","title":"The gutenberg galaxy pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gloom; Staring; Ridiculous; Subject (documents); Paraphernalia","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":[0.0001701704,0.0001558745,0.0001049072,0.0001385466,0.0006304682,0.0008250338,0.0007936676,0.0001008216,0.03508269],"category_scores_gemma":[0.00006396838,0.0001341506,0.00005269273,0.000339372,0.00009204806,0.00002573832,0.0003970291,0.0003212608,0.209425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007192256,"about_ca_system_score_gemma":0.000001295621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005990975,"about_ca_topic_score_gemma":7.767288e-7,"domain_scores_codex":[0.9991144,0.00003645681,0.0001477505,0.0002401252,0.0001992579,0.0002619874],"domain_scores_gemma":[0.999275,0.00001355713,0.00003213869,0.000513547,0.00007320426,0.00009256676],"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":[6.864248e-7,0.000006611633,2.246697e-8,0.00006967063,0.0000634942,0.000002922122,0.00006672646,0.0000923542,0.00008276003,0.006678566,0.9779688,0.0149674],"study_design_scores_gemma":[0.00005876884,0.0000133374,0.000005047496,0.00005395365,0.00001909171,0.00002030958,0.0000389017,0.0007231737,0.00001682353,0.0004586139,0.9984422,0.0001498004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002507753,0.001002663,0.002710714,0.0003305793,0.0002886824,0.0002795077,0.0001376194,0.002671107,0.9925766],"genre_scores_gemma":[0.001332868,0.001362153,0.0002544173,0.00003417932,0.0006258544,1.572156e-7,0.0008805451,0.01472859,0.9807813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1743423,"threshold_uncertainty_score":0.9657994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753012973842457,"score_gpt":0.2205152667043708,"score_spread":0.2029851369659462,"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."}}