{"id":"W6944938382","doi":"10.22008/fk2/cs5lka/tbldz7","title":"c50acbw7.rtl","year":2022,"lang":"ru","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Research Data Management Practices","field":"Computer Science","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.01532203,0.0008152041,0.001483026,0.0005086743,0.0007728702,0.001576207,0.006934483,0.0005502162,0.03169043],"category_scores_gemma":[0.006996247,0.0006553318,0.0002154368,0.001573585,0.0009471764,0.004859433,0.01420805,0.001930494,0.0003092341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006043531,"about_ca_system_score_gemma":0.0002459743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666213,"about_ca_topic_score_gemma":0.003912569,"domain_scores_codex":[0.9864035,0.006412342,0.001271825,0.002324965,0.002209308,0.001378015],"domain_scores_gemma":[0.9882051,0.006818548,0.001116302,0.002915924,0.0003448386,0.0005992531],"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":[0.0007159764,0.0008246094,0.1798265,0.0005564405,0.0005241147,0.000832364,0.00003716008,0.00003214117,0.000002481627,0.001254665,0.7943748,0.02101878],"study_design_scores_gemma":[0.0006620077,0.001032934,0.4478123,0.00003640972,0.00007562728,0.00004057048,0.00001882051,0.0003516657,0.000001107221,0.0003039932,0.549126,0.0005384964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02209517,0.00759018,0.006317046,0.002616992,0.001613714,0.001733329,0.9556576,0.00007942175,0.002296536],"genre_scores_gemma":[0.02776912,0.05832906,0.001634404,0.001052382,0.000298679,0.0001538819,0.9028512,0.00004940384,0.007861833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2679859,"threshold_uncertainty_score":0.9995898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1160419935258514,"score_gpt":0.3394040970077645,"score_spread":0.2233621034819132,"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."}}