{"id":"W7053488444","doi":"","title":"GGG Fabry database","year":2023,"lang":"nl","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","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":[],"category_scores_codex":[0.000781088,0.001002355,0.0009023259,0.0001956729,0.0007460844,0.0005448183,0.004307036,0.0003592455,0.0002344052],"category_scores_gemma":[0.00004058295,0.0009211809,0.0001066046,0.0006203641,0.0002497996,0.000524986,0.005646241,0.001529854,0.005649986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004246378,"about_ca_system_score_gemma":0.00005311201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006251859,"about_ca_topic_score_gemma":0.003878444,"domain_scores_codex":[0.9952528,0.0001853997,0.0009805145,0.001780698,0.0005098463,0.001290739],"domain_scores_gemma":[0.9931974,0.0008109647,0.0002097728,0.005110678,0.00003535047,0.0006358229],"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":[0.00005498297,0.000111461,0.00008535755,0.005726636,0.0003444579,0.00007912461,0.0003019569,0.003777958,0.000160682,0.0002107893,0.9755793,0.01356732],"study_design_scores_gemma":[0.0002252181,0.00003997861,0.0004060734,0.00114088,0.0003136832,0.00001654295,0.0003010609,0.4143934,0.000001629266,0.00009841326,0.5823355,0.0007275837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002046307,0.003169211,0.002874049,0.000281219,0.0009449145,0.0006623466,0.9880273,0.0005668746,0.001427752],"genre_scores_gemma":[0.001697821,0.01854631,0.001316039,0.000336267,0.002010912,0.0001106396,0.9743556,0.0002040088,0.001422386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4106154,"threshold_uncertainty_score":0.9993239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463297918150483,"score_gpt":0.2450475281846938,"score_spread":0.220414549003189,"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."}}