{"id":"W6963858530","doi":"10.22008/fk2/wp1tr3/ltuogl","title":"w250vg.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":[0.0009038795,0.004315227,0.002977165,0.004705156,0.0009236354,0.003760455,0.004920918,0.00306424,0.2544871],"category_scores_gemma":[0.003928664,0.001612434,0.001793681,0.009971479,0.0006032374,0.002661395,0.002599213,0.002409291,0.4142401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180021,"about_ca_system_score_gemma":0.001494893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03324245,"about_ca_topic_score_gemma":0.04850891,"domain_scores_codex":[0.9989888,0.0001736751,0.00008359354,0.0003694596,0.0001981262,0.0001862878],"domain_scores_gemma":[0.9987713,0.0002978295,0.0000846796,0.0004179567,0.0002979256,0.0001303873],"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":[0.00002039379,0.000007484934,0.00009519202,0.0002290065,0.0000148241,0.000005810906,0.00001113227,0.0001999458,0.00002946862,0.0002277805,0.9981903,0.0009685112],"study_design_scores_gemma":[0.0002080652,0.00001186675,0.0009390436,0.0001989068,0.00002427846,0.00002862284,0.00005595824,0.000625133,0.0001951038,0.001817462,0.9958642,0.00003138464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003081129,0.00003106778,0.00007656166,0.00002603354,0.00001735569,0.000004052399,0.9980783,0.001013431,0.0007223755],"genre_scores_gemma":[0.0001254072,0.00003050034,0.000210111,0.00002308706,0.000005774129,0.00003107747,0.9986297,0.0003435725,0.0006008262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7455128,"threshold_uncertainty_score":0,"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."}}