{"id":"W6888773345","doi":"10.22008/fk2/orktcu/de7hsw","title":"emLIN.zip","year":2021,"lang":"en","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":["insufficient_payload"],"category_scores_codex":[0.004012177,0.000895921,0.002100077,0.0002585679,0.0002128989,0.00009626937,0.0009159205,0.001528956,0.006343054],"category_scores_gemma":[0.003755608,0.000671232,0.000297795,0.0008264526,0.000845749,0.00009501126,0.001128744,0.0011987,0.002144573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003912378,"about_ca_system_score_gemma":0.0001943367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01074134,"about_ca_topic_score_gemma":0.01794993,"domain_scores_codex":[0.9930162,0.002623145,0.001105539,0.001381707,0.0009078745,0.0009655394],"domain_scores_gemma":[0.994611,0.002343254,0.0006954302,0.001295093,0.0005572034,0.0004980531],"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":[0.000453715,0.0002906565,0.1553448,0.0001943511,0.0002500165,0.0003265784,0.000004764689,0.000003699703,0.000007989195,0.000002733426,0.8414929,0.001627851],"study_design_scores_gemma":[0.0007511208,0.0002384153,0.5471224,0.00009032109,0.0001517776,0.00007456766,0.000004911621,0.000009838316,0.000004952194,0.000107972,0.4508718,0.0005719595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04578172,0.005503981,0.00001323327,0.00006564977,0.0004265627,0.0003527782,0.947524,0.00004388489,0.0002881965],"genre_scores_gemma":[0.007541509,0.002654156,0.0001461872,0.0002072931,0.0002581109,0.00002765143,0.9884172,0.00005278188,0.0006951083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3917776,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04730181540676144,"score_gpt":0.2828914775727586,"score_spread":0.2355896621659972,"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."}}