{"id":"W6944940043","doi":"10.22008/fk2/wp1tr3/tjljiq","title":"c50ac3.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":[0.001053348,0.003062288,0.002118567,0.00516805,0.0009826893,0.003463789,0.004302504,0.002891322,0.2986295],"category_scores_gemma":[0.006609063,0.001228821,0.001706705,0.01127959,0.0005974199,0.001747292,0.002134388,0.002093876,0.3420793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659823,"about_ca_system_score_gemma":0.003191533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07062712,"about_ca_topic_score_gemma":0.09634354,"domain_scores_codex":[0.9988528,0.0001845908,0.0001106317,0.0003567073,0.0002459448,0.0002492781],"domain_scores_gemma":[0.9973,0.00077491,0.0001756151,0.0007219698,0.0007665923,0.0002609933],"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":[0.00002139735,0.000004787791,0.000119772,0.0002445787,0.00001242316,0.000004972138,0.000007351435,0.0001728787,0.00002664483,0.0002235965,0.9986104,0.0005512133],"study_design_scores_gemma":[0.0002641186,0.00001050465,0.001256554,0.0001843534,0.00002698649,0.00002384865,0.00004612863,0.0004356138,0.0001748695,0.001232594,0.9963159,0.0000285672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002070122,0.0000158334,0.00002913574,0.00002207899,0.00001043327,0.000003118518,0.9991416,0.0003312688,0.0004257185],"genre_scores_gemma":[0.0001440731,0.00002473246,0.0001441496,0.00002675206,0.000004811402,0.00002865452,0.9989107,0.0002077858,0.000508357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7013705,"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."}}