{"id":"W6944782440","doi":"10.22008/fk2/wp1tr3/baqn9a","title":"c50z10bw7.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":[0.0009864019,0.002614825,0.002368749,0.004454791,0.000872656,0.003052688,0.003573068,0.002380153,0.2426044],"category_scores_gemma":[0.005810104,0.001306494,0.001163097,0.0109044,0.000505319,0.001927268,0.002017527,0.001804415,0.2711911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564405,"about_ca_system_score_gemma":0.002716059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0756584,"about_ca_topic_score_gemma":0.09411773,"domain_scores_codex":[0.9989986,0.000166397,0.0001004114,0.0003034277,0.0001987024,0.0002324186],"domain_scores_gemma":[0.9980665,0.0005233225,0.0001653745,0.0004472475,0.0006090364,0.0001885181],"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":[0.00002309711,0.000005331688,0.0001932878,0.0002943164,0.0000140541,0.000005535441,0.0000111288,0.0001881793,0.00002303181,0.0003266786,0.9981186,0.0007966999],"study_design_scores_gemma":[0.000196057,0.000008822428,0.001775671,0.0002441468,0.00002053744,0.00001937994,0.00006100574,0.0003443286,0.000147563,0.001217828,0.9959377,0.00002698175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001981994,0.00001902676,0.00002646819,0.00001930362,0.000009505451,0.000002630446,0.9993148,0.0001728361,0.0004155916],"genre_scores_gemma":[0.0001656945,0.00003213074,0.0001343125,0.00002172282,0.000004814046,0.00003688093,0.9988174,0.0001523128,0.0006348041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7573956,"threshold_uncertainty_score":0.8115928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514046022765376,"score_gpt":0.278102365974408,"score_spread":0.2329619057467543,"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."}}