{"id":"W6888800999","doi":"10.22008/fk2/cs5lka/gmo5af","title":"c250vgbw.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":["insufficient_payload"],"category_scores_codex":[0.0009555448,0.00355723,0.002326259,0.00538551,0.0009014467,0.003722409,0.004883945,0.002728875,0.3014163],"category_scores_gemma":[0.005349722,0.001364775,0.00162415,0.01204078,0.0006120358,0.001972685,0.002430914,0.002012781,0.4030474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468903,"about_ca_system_score_gemma":0.002393003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05120753,"about_ca_topic_score_gemma":0.06547854,"domain_scores_codex":[0.9989727,0.0001525743,0.00008579629,0.0003594522,0.0002174482,0.0002121005],"domain_scores_gemma":[0.9980665,0.0004976934,0.0001175348,0.0005998721,0.0005142308,0.0002041312],"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":[0.00001997435,0.000005251734,0.00009503783,0.0001988562,0.0000121733,0.000004735031,0.000008149784,0.0001591387,0.00003051866,0.0001943125,0.9985617,0.0007103239],"study_design_scores_gemma":[0.0002217843,0.000009123748,0.001095961,0.0001468093,0.00002470109,0.00002402389,0.00004787136,0.0004996675,0.0001962115,0.00131388,0.9963899,0.00003000056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002846477,0.0000177542,0.00004997719,0.0000240256,0.00001089901,0.000003878564,0.9985117,0.000798087,0.0005552556],"genre_scores_gemma":[0.0001374538,0.00002368038,0.0001840446,0.0000217613,0.000004334474,0.00002935383,0.9987183,0.0003834724,0.0004976291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6985837,"threshold_uncertainty_score":0.9964448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}