{"id":"W6963526474","doi":"10.22008/fk2/orktcu/ular1l","title":"acz.gxf","year":2021,"lang":"pl","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.008947509,0.002021993,0.004468965,0.0004978286,0.0005682493,0.0002737899,0.001854643,0.003248761,0.01751432],"category_scores_gemma":[0.008012603,0.001609011,0.0006552294,0.001915119,0.002361794,0.0002361241,0.002927881,0.002516396,0.008129764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000924,"about_ca_system_score_gemma":0.0004996957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01496476,"about_ca_topic_score_gemma":0.02400958,"domain_scores_codex":[0.9828653,0.007725726,0.002482693,0.002954767,0.001785952,0.002185612],"domain_scores_gemma":[0.9874824,0.005933034,0.001648702,0.002412574,0.00126713,0.001256136],"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":[0.001458051,0.0009054746,0.4190304,0.000524202,0.0007704666,0.0008161265,0.00002292237,0.00001043327,0.00003576667,0.000008843775,0.572318,0.004099315],"study_design_scores_gemma":[0.00216207,0.0008718512,0.7062294,0.0003679595,0.0005479227,0.0002396391,0.000028989,0.00005836707,0.00001722913,0.0001656608,0.2878506,0.001460297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.191106,0.01873008,0.00003204708,0.0001560621,0.0008314128,0.0007151475,0.7880126,0.00005103641,0.0003656082],"genre_scores_gemma":[0.07809219,0.01574478,0.0002809831,0.0003477341,0.0004934322,0.0000471296,0.9030061,0.0001351773,0.001852508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.287199,"threshold_uncertainty_score":0.9997848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929672497031597,"score_gpt":0.2813529739723227,"score_spread":0.2320562490020067,"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."}}