{"id":"W6907558129","doi":"10.22008/fk2/cs5lka/npnxsb","title":"c50an3.rtl","year":2022,"lang":"gd","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":[0.001004862,0.002692461,0.00197907,0.004470476,0.0008755779,0.003033478,0.003823841,0.002325336,0.2606155],"category_scores_gemma":[0.005438089,0.001254312,0.001444805,0.009572239,0.0005439128,0.001498993,0.002034336,0.001830625,0.3006457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655013,"about_ca_system_score_gemma":0.003021347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07102111,"about_ca_topic_score_gemma":0.0997488,"domain_scores_codex":[0.9990193,0.0001600658,0.0000902381,0.0003088526,0.0002053399,0.000216225],"domain_scores_gemma":[0.9980589,0.0004938184,0.0001507314,0.0005328818,0.000572492,0.0001911176],"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":[0.00002011059,0.000004507764,0.0001488793,0.0002530771,0.00001388101,0.000005346285,0.000008887711,0.0001757504,0.00002823418,0.0002605534,0.998428,0.0006527291],"study_design_scores_gemma":[0.0002100282,0.000007669869,0.001288475,0.0001772779,0.00002336802,0.00002041695,0.00004175733,0.0003313119,0.0001481054,0.001041605,0.9966875,0.00002264237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002248872,0.00001552719,0.000032545,0.0000240857,0.00001059768,0.000003157516,0.9991078,0.0002805441,0.0005032758],"genre_scores_gemma":[0.0001608543,0.00002633966,0.0001721926,0.00002997187,0.000004706017,0.00003212077,0.9986883,0.0002339845,0.0006516243],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7393845,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610757814897802,"score_gpt":0.2769672454181242,"score_spread":0.2308596672691461,"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."}}