{"id":"W6907632487","doi":"10.22008/fk2/wp1tr3/q5rezm","title":"gnd.txt","year":2022,"lang":"en","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":[0.0007221337,0.002792889,0.001721907,0.003677113,0.0006719659,0.003500557,0.002695451,0.001552687,0.2629575],"category_scores_gemma":[0.004067831,0.001032031,0.001099214,0.009118753,0.0004160009,0.002152949,0.002132009,0.001970216,0.4234917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051094,"about_ca_system_score_gemma":0.001312981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02465295,"about_ca_topic_score_gemma":0.04056753,"domain_scores_codex":[0.9991609,0.0001206158,0.00008388954,0.0002847077,0.0001998014,0.0001501744],"domain_scores_gemma":[0.9985183,0.0003454817,0.0001206045,0.0004447874,0.0004242227,0.0001466333],"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":[0.00001715278,0.00000403325,0.0001098427,0.0001501545,0.000007842954,0.000004642566,0.00001062558,0.0001290519,0.00002266496,0.0003060334,0.9981712,0.001066681],"study_design_scores_gemma":[0.00007488037,0.000005171611,0.0007277148,0.0001012974,0.000009543623,0.0000151945,0.00003398514,0.0002110037,0.0001050872,0.00122953,0.9974739,0.00001256739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002702008,0.00001984436,0.00006632626,0.0000300543,0.0000166085,0.000003359077,0.9976904,0.0007029321,0.001443416],"genre_scores_gemma":[0.0001466892,0.00003646104,0.0002449283,0.00002810688,0.000006793812,0.00002264941,0.9978706,0.0004180056,0.001225817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7370424,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489917025534181,"score_gpt":0.2771717373139636,"score_spread":0.2322725670586218,"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."}}