{"id":"W6888700459","doi":"10.22008/fk2/wp1tr3/8mzm0z","title":"w50tft12.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":[0.0009226931,0.002780152,0.001882665,0.004797131,0.000801959,0.002905702,0.003693994,0.002561969,0.2478989],"category_scores_gemma":[0.006045923,0.001142233,0.001476432,0.01090427,0.0005387625,0.001784094,0.001992537,0.001871021,0.3034106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336775,"about_ca_system_score_gemma":0.002473907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05227007,"about_ca_topic_score_gemma":0.06949277,"domain_scores_codex":[0.9990051,0.0001544021,0.0001050423,0.0003184058,0.0002104885,0.0002065544],"domain_scores_gemma":[0.9977916,0.0006321548,0.0001555629,0.0005922669,0.0006050541,0.0002232125],"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":[0.00002412394,0.000006476669,0.0001469021,0.0002597009,0.00001253015,0.000006755698,0.000009963738,0.0001805034,0.00003842223,0.0002304446,0.9983625,0.0007216274],"study_design_scores_gemma":[0.0002668335,0.00001317342,0.001632813,0.0001766479,0.0000262897,0.00002702399,0.00006411115,0.0005051517,0.0002182364,0.001259477,0.9957821,0.00002814706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002996499,0.00001383162,0.00003726882,0.00002285993,0.00001105493,0.000003141893,0.9991857,0.0003138288,0.0003823483],"genre_scores_gemma":[0.0001365723,0.00002054526,0.0001205815,0.00001811187,0.000003974206,0.0000271409,0.9990169,0.0001492439,0.0005068886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7521011,"threshold_uncertainty_score":0.8293045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04515016740735384,"score_gpt":0.278376433614425,"score_spread":0.2332262662070712,"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."}}