{"id":"W6907528104","doi":"10.22008/fk2/kgwsma/4vhgns","title":"21910-vol2.pdf","year":2021,"lang":"pl","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":["insufficient_payload"],"category_scores_codex":[0.001079524,0.002515199,0.002051136,0.004761048,0.0007170533,0.004186536,0.003152251,0.002268278,0.3653355],"category_scores_gemma":[0.006097955,0.001721692,0.001045921,0.01201004,0.0005107562,0.002727102,0.002271943,0.001877008,0.3982418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686786,"about_ca_system_score_gemma":0.002346223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04788914,"about_ca_topic_score_gemma":0.04682179,"domain_scores_codex":[0.9990613,0.0001351166,0.0001233245,0.0002552043,0.0002104453,0.0002147508],"domain_scores_gemma":[0.9978253,0.0006313357,0.0002112541,0.000497397,0.0006024959,0.0002323522],"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":[0.0000238676,0.000007393528,0.0002169514,0.0003001603,0.000009623943,0.000006698091,0.00001138627,0.0001644703,0.00001751423,0.0003697477,0.997549,0.001323143],"study_design_scores_gemma":[0.0001663935,0.000009235274,0.001575384,0.0002514845,0.00001032572,0.00002057023,0.00005828185,0.0002416114,0.0001081392,0.001146812,0.9963916,0.00002011268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001916402,0.00001993324,0.00002532223,0.00002741493,0.00001139127,0.000002638831,0.9989766,0.0002326183,0.0006849583],"genre_scores_gemma":[0.0002286404,0.00005123133,0.0001369628,0.00003344631,0.000008133052,0.00004347383,0.9978592,0.0002227604,0.001416257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6346645,"threshold_uncertainty_score":0.9052718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226984915107378,"score_gpt":0.2737419959460862,"score_spread":0.2314721467950124,"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."}}