{"id":"W6963485615","doi":"10.22008/fk2/cs5lka/gltikd","title":"crpta4.rtl","year":2022,"lang":"cs","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":[],"category_scores_codex":[0.001189945,0.003764475,0.002175793,0.007288166,0.0009346522,0.003897398,0.004162989,0.003277461,0.3005779],"category_scores_gemma":[0.008790502,0.001540803,0.002217523,0.01383961,0.0007365138,0.001672081,0.002300991,0.00251536,0.3588946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637946,"about_ca_system_score_gemma":0.003819687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05835667,"about_ca_topic_score_gemma":0.07053797,"domain_scores_codex":[0.9986136,0.0002154959,0.0001417275,0.0004273498,0.000316087,0.0002856973],"domain_scores_gemma":[0.9964023,0.001070013,0.0002711021,0.0009392701,0.0008865104,0.0004309414],"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":[0.00003204138,0.000008933041,0.0001522643,0.0003200404,0.00001697528,0.000006559536,0.000011725,0.0002353815,0.00003989066,0.0002193589,0.9981475,0.0008092935],"study_design_scores_gemma":[0.000393152,0.00001921038,0.001639431,0.0002175229,0.00004068312,0.00002892799,0.00007045507,0.0006301888,0.0002175436,0.001428346,0.9952754,0.00003911386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002751149,0.00001686657,0.00002884475,0.00002275456,0.00001110143,0.00000397862,0.9991586,0.0003732103,0.000357176],"genre_scores_gemma":[0.0001570189,0.00002932857,0.0001750755,0.00002751606,0.00000519395,0.0000451698,0.9987747,0.0002017832,0.0005842311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6994221,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615781509896437,"score_gpt":0.2794956847135687,"score_spread":0.2333378696146043,"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."}}