{"id":"W6963714372","doi":"10.22008/fk2/kgwsma/yjffks","title":"21910-vol2.pdf","year":2022,"lang":"pl","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":["insufficient_payload"],"category_scores_codex":[0.001138835,0.002252114,0.001574339,0.00449982,0.00065182,0.004162948,0.002657427,0.002121778,0.3290028],"category_scores_gemma":[0.005904975,0.001529455,0.001019077,0.01003074,0.0004570461,0.002067638,0.002043853,0.001638155,0.3770269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599344,"about_ca_system_score_gemma":0.00227185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04820583,"about_ca_topic_score_gemma":0.05383538,"domain_scores_codex":[0.9990597,0.0001191208,0.0001143453,0.0002701611,0.0002258454,0.0002108468],"domain_scores_gemma":[0.9978014,0.0006640545,0.0002237064,0.0004907629,0.0005942472,0.0002258425],"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":[0.00002363587,0.000007007295,0.0002372755,0.0002820817,0.000009917926,0.000007136056,0.00001079433,0.0001458189,0.00002294393,0.0003200174,0.9977368,0.001196495],"study_design_scores_gemma":[0.0001611614,0.000009300279,0.001775956,0.0001994755,0.0000128588,0.00002178743,0.00005400248,0.0002125852,0.000114325,0.000938657,0.9964818,0.00001816958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002361214,0.00001652656,0.0000272882,0.00002815177,0.000009516244,0.000002701233,0.9989555,0.000211938,0.0007247583],"genre_scores_gemma":[0.0002269419,0.00004525811,0.0001459039,0.00003752555,0.000006609236,0.00003968125,0.99762,0.0002071912,0.001670764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6709972,"threshold_uncertainty_score":0.9570961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133601039864119,"score_gpt":0.2713978086202208,"score_spread":0.2300617982215796,"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."}}