{"id":"W6963813541","doi":"10.22008/fk2/orktcu/nwxk7z","title":"mag.gxf","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":[0.0007785952,0.003827306,0.002633332,0.004337128,0.0009713605,0.003790329,0.003908559,0.00261028,0.3622535],"category_scores_gemma":[0.003424842,0.001471156,0.001566614,0.008965312,0.0005240064,0.002797099,0.002793367,0.002164593,0.5150374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369618,"about_ca_system_score_gemma":0.001635656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03976995,"about_ca_topic_score_gemma":0.05134092,"domain_scores_codex":[0.9992999,0.00009994474,0.00005100089,0.0002515759,0.0001356741,0.0001618947],"domain_scores_gemma":[0.9988124,0.0002605375,0.00008236403,0.0003977613,0.0002814203,0.0001653575],"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":[0.00001755277,0.000005643253,0.0001153569,0.0002439195,0.00001106012,0.000005559843,0.00001436104,0.0001393826,0.00002628701,0.0003048264,0.9980419,0.001074135],"study_design_scores_gemma":[0.0001338405,0.000007529544,0.0008079621,0.0001401246,0.00001213987,0.00001764505,0.00003895735,0.0002450699,0.0001161589,0.001252754,0.9972094,0.0000184345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002463688,0.00003043781,0.00004659937,0.00003332441,0.00001832719,0.0000028367,0.9979166,0.0009489944,0.0009782288],"genre_scores_gemma":[0.0002128893,0.00005705671,0.0002173753,0.00003886694,0.000009596793,0.00002814694,0.9978237,0.000473881,0.001138541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6377465,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04444182191339469,"score_gpt":0.2784719834726198,"score_spread":0.2340301615592251,"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."}}