{"id":"W6926407649","doi":"10.22008/fk2/wp1tr3/m8l4du","title":"w250cnd.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001627078,0.0005959442,0.001068516,0.0002144089,0.0002895902,0.0000573115,0.0004505305,0.0007328831,0.07677467],"category_scores_gemma":[0.000690801,0.000529856,0.0001807328,0.0005833457,0.0002614143,0.00009395139,0.0004530063,0.001068141,0.0002024092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003452872,"about_ca_system_score_gemma":0.00004543554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043289,"about_ca_topic_score_gemma":0.001581955,"domain_scores_codex":[0.9962271,0.001031575,0.0009046019,0.0006850052,0.0005826957,0.0005689973],"domain_scores_gemma":[0.9973707,0.001385652,0.0003248005,0.0004782211,0.0001417339,0.0002989245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001501394,0.00061801,0.3596868,0.001211364,0.0007275798,0.0002549334,0.0001074436,0.0006640896,0.00006689686,0.00007788539,0.5825108,0.05257282],"study_design_scores_gemma":[0.001403972,0.0007637002,0.7883585,0.00009422297,0.0002037119,0.00004552258,0.00003232102,0.0008430895,0.00002600483,0.000380438,0.2070085,0.0008400362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1897189,0.004565566,0.0004826195,0.000121483,0.001418294,0.0007105382,0.8016455,0.00009123773,0.001245914],"genre_scores_gemma":[0.2513848,0.005343188,0.00009472157,0.000204209,0.0001971989,0.00004800467,0.7422968,0.00003729182,0.0003937985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4286718,"threshold_uncertainty_score":0.9997153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152078178981347,"score_gpt":0.252491585454708,"score_spread":0.2209708036648945,"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."}}