{"id":"W6907662504","doi":"10.22008/fk2/orktcu/w4bavt","title":"250anom.rtl","year":2021,"lang":"ru","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":[0.0008958602,0.002955956,0.002312503,0.004570739,0.0007946989,0.003136356,0.003390753,0.00236471,0.233058],"category_scores_gemma":[0.004639053,0.001373479,0.00133346,0.00925316,0.0004866143,0.002231944,0.002443427,0.001931865,0.3151883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260238,"about_ca_system_score_gemma":0.001848458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03554629,"about_ca_topic_score_gemma":0.04698605,"domain_scores_codex":[0.9990743,0.0001704433,0.00008895234,0.0003035781,0.0001761265,0.0001864452],"domain_scores_gemma":[0.9984755,0.0003896352,0.000134716,0.000461593,0.0003825394,0.0001560109],"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":[0.00002042526,0.000006916563,0.0001771009,0.0003043019,0.00001406089,0.000006979031,0.00001302592,0.0001958841,0.00002894268,0.000315196,0.9977806,0.001136494],"study_design_scores_gemma":[0.0001667892,0.00001111854,0.001336908,0.0002189307,0.00001865635,0.00002285674,0.00006185378,0.0004348128,0.0001520286,0.001179623,0.9963726,0.00002381539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000297932,0.00002813008,0.00003956568,0.00002707403,0.00001452264,0.000002960402,0.9988019,0.0004791124,0.0005770255],"genre_scores_gemma":[0.0001791648,0.00003550493,0.000169466,0.00002341955,0.000006769607,0.00003130497,0.9987012,0.0002176399,0.0006355993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.766942,"threshold_uncertainty_score":0.7796567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430218774295274,"score_gpt":0.2759876648573036,"score_spread":0.2316854771143509,"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."}}