{"id":"W6888753660","doi":"10.22008/fk2/cs5lka/omliho","title":"w50vg7.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":[0.0008755235,0.003189808,0.002068589,0.004769322,0.000706095,0.003062009,0.00394955,0.0024978,0.2322441],"category_scores_gemma":[0.004681738,0.001249436,0.001537979,0.01035719,0.0005408845,0.001889661,0.002101135,0.00196523,0.3095818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128517,"about_ca_system_score_gemma":0.002069372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04168863,"about_ca_topic_score_gemma":0.06016465,"domain_scores_codex":[0.9990877,0.0001422876,0.00009027122,0.000293721,0.0001960554,0.0001899268],"domain_scores_gemma":[0.9984065,0.0004332751,0.0001137581,0.0004615518,0.0004159737,0.0001690214],"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":[0.00002207988,0.000006341937,0.0001409186,0.0002579936,0.00001503498,0.000005981849,0.00001042322,0.0001962378,0.00003843406,0.0002463598,0.9982756,0.0007844526],"study_design_scores_gemma":[0.0002588161,0.00001224647,0.001358629,0.0001845948,0.00002947931,0.00002436474,0.00006017417,0.0005737762,0.0002198514,0.001455124,0.9957937,0.00002919795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003324288,0.00001816759,0.00004911039,0.00002525976,0.00001260725,0.00000361949,0.9988242,0.0005396976,0.0004941174],"genre_scores_gemma":[0.000145805,0.00002482979,0.0001547026,0.00002070176,0.000004188254,0.00002667178,0.9989114,0.0002370488,0.0004747102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7677559,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}