{"id":"W6963742416","doi":"10.22008/fk2/wp1tr3/7ugy6m","title":"w50acbw2.rtl","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009356746,0.002885132,0.002229146,0.004498926,0.0007856202,0.003192255,0.003636823,0.002457079,0.2111401],"category_scores_gemma":[0.005303635,0.001367761,0.001237214,0.01094639,0.0004846486,0.002123601,0.002023006,0.001988951,0.2727395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286539,"about_ca_system_score_gemma":0.002124768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05485706,"about_ca_topic_score_gemma":0.07380521,"domain_scores_codex":[0.9990624,0.0001686603,0.00009596678,0.0003007137,0.0001856928,0.0001866241],"domain_scores_gemma":[0.9983621,0.0004570921,0.0001376491,0.0004345521,0.0004417967,0.0001667881],"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":[0.00002129393,0.000005948443,0.0001816002,0.0002761402,0.0000152716,0.000006804274,0.00001305043,0.0002009374,0.00002567607,0.0003259577,0.9981031,0.000824195],"study_design_scores_gemma":[0.0001732271,0.00000798461,0.001418817,0.0002050917,0.00001966712,0.00002132721,0.0000634423,0.000391099,0.000137592,0.001439452,0.9960983,0.00002400097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000271089,0.00002155191,0.00004075742,0.00002181573,0.00001055326,0.000002671534,0.9991568,0.0002568763,0.0004618639],"genre_scores_gemma":[0.0001589433,0.00003202387,0.0001603461,0.00002086038,0.000004532284,0.00003445181,0.9987882,0.0001774072,0.000623206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7888599,"threshold_uncertainty_score":0.7063339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}