{"id":"W4393761386","doi":"10.5281/zenodo.10231501","title":"Quarter Normal Map RTI","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Cartography; Geography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007339253,0.003595736,0.001491305,0.002672073,0.0009993046,0.002601257,0.002956545,0.001818842,0.06045745],"category_scores_gemma":[0.004482104,0.0005374815,0.00187502,0.004018337,0.0005474318,0.003108844,0.002376566,0.002448252,0.1160197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410166,"about_ca_system_score_gemma":0.001596474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02171141,"about_ca_topic_score_gemma":0.04681342,"domain_scores_codex":[0.998735,0.0001414799,0.00006697966,0.0004040412,0.0003867142,0.0002656986],"domain_scores_gemma":[0.9983407,0.0001426159,0.00005430793,0.0009013782,0.0004325295,0.0001285549],"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":[0.000193654,0.00006719869,0.0006080886,0.0002237977,0.00003773231,0.00003958051,0.00001785627,0.001052564,0.0002654325,0.0004769356,0.9825362,0.01448102],"study_design_scores_gemma":[0.0003779313,0.0001526135,0.004634641,0.0002079498,0.00005982698,0.0005070948,0.0002623412,0.01115602,0.004039515,0.005270365,0.9732592,0.00007256871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006230348,0.0009744432,0.003009951,0.0005692673,0.0007847513,0.000156871,0.9339065,0.03015032,0.02421751],"genre_scores_gemma":[0.008036541,0.0002190577,0.003478787,0.0001214126,0.00005615725,0.00008366215,0.9805514,0.001219915,0.006233051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06045745,"threshold_uncertainty_score":0.2022503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238610134956776,"score_gpt":0.2653624117073267,"score_spread":0.2329763103577589,"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."}}