{"id":"W6925221471","doi":"10.17632/4byk4ycc2k","title":"CPO_sheath_fold_dataset","year":2023,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Visualization; Foliation (geology); Interpolation (computer graphics); Workflow; 3d model; Surface (topology); Linear interpolation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02618666,0.0005967894,0.002184233,0.0008100694,0.0002899332,0.0002862859,0.004741189,0.0006434807,0.002545502],"category_scores_gemma":[0.009468016,0.0007887945,0.0001434904,0.0004690057,0.0001047391,0.001007501,0.002193228,0.0007455996,0.2983747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005465774,"about_ca_system_score_gemma":0.000376066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069656,"about_ca_topic_score_gemma":0.002554855,"domain_scores_codex":[0.9896598,0.0004281295,0.006397068,0.002294664,0.0002741305,0.0009461374],"domain_scores_gemma":[0.9856492,0.001327367,0.003418691,0.009155569,0.00004821518,0.0004009489],"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":[0.000005955697,0.00008258077,0.00004027307,0.0006489775,0.0001779563,0.00001632958,0.00001700292,0.000005344906,2.930402e-8,0.001230673,0.9977387,0.0000362384],"study_design_scores_gemma":[0.000454326,0.0000408031,0.0001153047,0.0001362015,0.00003870664,0.000009814513,0.00007175682,0.0004791947,8.755048e-8,0.002546186,0.9953575,0.0007500801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000030577,0.001889868,0.0001712083,0.01249353,0.003209554,0.0008473002,0.9809136,0.0001817252,0.0002900879],"genre_scores_gemma":[8.771871e-7,0.001980332,0.0006744658,0.01168558,0.001582367,0.0001551879,0.9826936,0.00009945957,0.001128197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2958293,"threshold_uncertainty_score":0.9994563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6974467580323637,"score_gpt":0.5093421046974199,"score_spread":0.1881046533349437,"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."}}