{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001436105,0.00316235,0.001441497,0.003148834,0.001101877,0.003019746,0.002168626,0.0008759245,0.3222008],"category_scores_gemma":[0.007224305,0.001322216,0.00141434,0.00299831,0.000517841,0.002392616,0.002626043,0.002088772,0.3041629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007661394,"about_ca_system_score_gemma":0.001346885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0033245,"about_ca_topic_score_gemma":0.004667924,"domain_scores_codex":[0.9992344,0.00005414164,0.0001164572,0.0002980375,0.0001909426,0.0001059384],"domain_scores_gemma":[0.9969202,0.0005004663,0.0001423424,0.001061494,0.001270833,0.0001047403],"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":[0.0008895384,0.00007004823,0.0007821025,0.0007215858,0.00009755349,0.0002133529,0.0001747945,0.0002873185,0.0100783,0.001179587,0.9257716,0.05973419],"study_design_scores_gemma":[0.0002254014,0.0001493141,0.008749837,0.0002672372,0.0001325147,0.0006983613,0.0002510126,0.004116832,0.04375024,0.008171001,0.9332724,0.0002158019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00561137,0.0004776408,0.07655721,0.000499934,0.001331686,0.0007879454,0.4796375,0.4127015,0.02239519],"genre_scores_gemma":[0.01582649,0.0004731082,0.1233569,0.0006344395,0.0002823851,0.002739178,0.6210655,0.194026,0.04159604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3222008,"threshold_uncertainty_score":0.9667983,"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."}}