{"id":"W6944794753","doi":"10.22008/fk2/cs5lka/eatcuw","title":"21907.pdf","year":2022,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":["insufficient_payload"],"category_scores_codex":[0.005090589,0.0008548261,0.001799178,0.0003560987,0.0003815577,0.00006353106,0.001240928,0.00091579,0.2729236],"category_scores_gemma":[0.002096649,0.0006647541,0.0002696564,0.0008440276,0.0008032371,0.00009652864,0.00175824,0.001507805,0.00406159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006870683,"about_ca_system_score_gemma":0.0001397536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01886625,"about_ca_topic_score_gemma":0.01175548,"domain_scores_codex":[0.9925,0.003079952,0.001051837,0.001289755,0.001117225,0.0009611952],"domain_scores_gemma":[0.9951141,0.002301445,0.0007694511,0.001146003,0.0002312053,0.0004378217],"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":[0.0008227485,0.0003058853,0.1481835,0.0001299914,0.00021935,0.0001929742,0.000006252264,0.000008997999,0.000003531556,0.000003765993,0.8491134,0.001009564],"study_design_scores_gemma":[0.000718252,0.0004604229,0.442638,0.00001927646,0.0001212033,0.00006395124,0.000006560461,0.000005958821,9.447355e-7,0.0001543423,0.5553014,0.0005096645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02982837,0.00214352,0.000004361153,0.00005342704,0.0004586339,0.0004983759,0.9662907,0.00004955894,0.0006730196],"genre_scores_gemma":[0.004121044,0.001562586,0.00004606044,0.0002202014,0.0001370326,0.00006689877,0.9921702,0.00005295216,0.001622987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2944545,"threshold_uncertainty_score":0.9995804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03979896086241826,"score_gpt":0.2726438816890804,"score_spread":0.2328449208266621,"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."}}