{"id":"W6944958041","doi":"10.22008/fk2/wp1tr3/dm7yqg","title":"wiz10_a4.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":[0.0008160807,0.002520862,0.001670774,0.00476911,0.0008422578,0.003036251,0.003735496,0.002153547,0.2621077],"category_scores_gemma":[0.005815693,0.001334061,0.001363577,0.01115774,0.0004857646,0.001612508,0.00219644,0.001731552,0.2719207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553444,"about_ca_system_score_gemma":0.002870398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06399848,"about_ca_topic_score_gemma":0.08683503,"domain_scores_codex":[0.9991147,0.0001198038,0.0000888314,0.0002821142,0.0001905828,0.0002039734],"domain_scores_gemma":[0.9980903,0.0005837739,0.0001455297,0.0004583757,0.0005275457,0.0001944322],"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":[0.0000269757,0.000007732738,0.0002499292,0.0002714299,0.00001640047,0.000007791914,0.00001298457,0.0001739231,0.00004058401,0.0003167791,0.9980475,0.0008278878],"study_design_scores_gemma":[0.0002108068,0.00001016105,0.002138992,0.0001456064,0.00002390535,0.00002270445,0.00006929861,0.0003411719,0.0002251156,0.001034147,0.9957527,0.00002532531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003257952,0.00001107835,0.00002946881,0.0000183722,0.000007555755,0.000002968387,0.9992999,0.0002284631,0.0003696321],"genre_scores_gemma":[0.0001577582,0.00001890829,0.0001183103,0.00001616885,0.000003219804,0.00003579178,0.9988875,0.0001261531,0.0006361153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7378923,"threshold_uncertainty_score":0.8768375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0446035847862957,"score_gpt":0.2775827529575456,"score_spread":0.2329791681712499,"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."}}