{"id":"W6907676636","doi":"10.22008/fk2/wp1tr3/ruzwwb","title":"w50vg10.rtl","year":2022,"lang":"cs","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008743131,0.003397297,0.002113335,0.00450654,0.0006906741,0.0030308,0.00418931,0.002595368,0.2146376],"category_scores_gemma":[0.004375231,0.001291713,0.001575195,0.009950045,0.00053496,0.001951686,0.00207248,0.002009945,0.2987275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131557,"about_ca_system_score_gemma":0.001957247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04115947,"about_ca_topic_score_gemma":0.05847209,"domain_scores_codex":[0.9991106,0.0001366625,0.00008322126,0.0002958468,0.0001877818,0.0001857731],"domain_scores_gemma":[0.9985433,0.0003753648,0.0001050805,0.0004500879,0.0003718046,0.0001545023],"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":[0.00002238125,0.000006761792,0.0001410213,0.0002394918,0.0000155843,0.000006047131,0.000009844092,0.0002321468,0.00003966557,0.000226915,0.9982448,0.0008154311],"study_design_scores_gemma":[0.0002758063,0.00001336956,0.001459455,0.0001792467,0.00003058267,0.00002711835,0.00005920481,0.0007210858,0.0002434828,0.001509556,0.9954488,0.0000322596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003624957,0.00001893172,0.00005437559,0.00002627594,0.00001376701,0.000003809324,0.9987326,0.0006435483,0.0004703939],"genre_scores_gemma":[0.0001555679,0.00002493629,0.0001690934,0.0000209467,0.000004435708,0.00002672318,0.9988731,0.0002550855,0.0004701213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7853624,"threshold_uncertainty_score":0.7180343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04500983883384664,"score_gpt":0.2779404908362142,"score_spread":0.2329306520023676,"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."}}