{"id":"W4394342856","doi":"10.6084/m9.figshare.4197885","title":"COBRE preprocessed with NIAK 0.17 - lightweight release","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Ancient history; Archaeology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007779443,0.0004208477,0.000396515,0.0002166773,0.0001658797,0.0001394962,0.002735199,0.0006378646,0.02785322],"category_scores_gemma":[0.0004758076,0.0002775884,0.00008024958,0.0003531584,0.00001829377,0.0003282114,0.0001693812,0.0004418689,0.01006435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006895792,"about_ca_system_score_gemma":0.0002995005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006006675,"about_ca_topic_score_gemma":0.00003663413,"domain_scores_codex":[0.997629,0.00006175447,0.0002901642,0.0009887067,0.0005705271,0.0004598124],"domain_scores_gemma":[0.996657,0.00009968243,0.0004119239,0.002401719,0.0002817322,0.0001480122],"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":[0.000009351534,0.00003971071,0.000001481391,0.0004017854,0.00004800891,0.0001901192,0.000008319477,2.805115e-7,0.00001457302,0.000008448353,0.9989316,0.0003462475],"study_design_scores_gemma":[0.0003747806,0.00009789492,0.000009443154,0.005438609,0.00001668602,0.00008806102,0.000001374973,0.000007605546,0.002087684,0.00002655167,0.9913954,0.0004559325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.098066e-7,0.0004554285,0.00003747171,0.0003247314,0.0001775384,0.0004857232,0.9971801,0.000531024,0.0008075693],"genre_scores_gemma":[0.00003635332,0.000009420703,0.0000754495,0.0003630382,0.0002409097,0.0004408642,0.996812,0.00002118741,0.002000773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01778887,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013786238657019,"score_gpt":0.2349933291808623,"score_spread":0.2048554667942921,"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."}}