{"id":"W6944807573","doi":"10.22008/fk2/wp1tr3/hxy1fd","title":"c50vg1.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001347595,0.0003541938,0.0008168489,0.00007558018,0.000143625,0.00006410325,0.0003504499,0.0006674555,0.007274435],"category_scores_gemma":[0.0008071421,0.0002439514,0.0001030373,0.0002184522,0.0003137036,0.00006803784,0.0003493098,0.0003718004,0.0001829826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000119384,"about_ca_system_score_gemma":0.00006939578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004092245,"about_ca_topic_score_gemma":0.00480798,"domain_scores_codex":[0.9973681,0.0006894601,0.000498436,0.0006662541,0.0003814661,0.0003962579],"domain_scores_gemma":[0.9981813,0.00064658,0.0002868197,0.000522171,0.0002004003,0.000162692],"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":[0.0001655323,0.00005429284,0.01933693,0.0001322687,0.00003220967,0.00005895819,0.000005054095,0.000003091416,0.0003979972,0.000005673808,0.9787203,0.001087692],"study_design_scores_gemma":[0.0005094883,0.0003224831,0.4949722,0.00006716694,0.0001003827,0.00006885779,0.000008034087,0.000004034574,0.0004163019,0.0003846469,0.5026835,0.000462838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09097683,0.002279397,0.00006052739,0.00005020787,0.00102005,0.0001425429,0.9051909,0.00001872209,0.0002608041],"genre_scores_gemma":[0.01860967,0.001295004,0.0002263864,0.0002847357,0.0003549905,0.00001188973,0.978659,0.00001198984,0.000546336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4760368,"threshold_uncertainty_score":0.9948049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673415202459271,"score_gpt":0.2525310425100725,"score_spread":0.2257968904854798,"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."}}