{"id":"W6944838552","doi":"10.22008/fk2/cs5lka/arvbnx","title":"witfa4.rtl","year":2022,"lang":"es","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":[0.001138374,0.004314801,0.002170006,0.006487279,0.0008420796,0.003768028,0.003878732,0.002926679,0.3109158],"category_scores_gemma":[0.006331378,0.001581582,0.002061408,0.01143503,0.0006285581,0.001821721,0.002201106,0.002131854,0.3987111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237646,"about_ca_system_score_gemma":0.002199148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03648903,"about_ca_topic_score_gemma":0.0506818,"domain_scores_codex":[0.9989349,0.0001789498,0.0001020308,0.000322733,0.0002245056,0.0002368944],"domain_scores_gemma":[0.997922,0.0005780749,0.0001828298,0.000607088,0.0004452408,0.0002646923],"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":[0.00003589013,0.000008935377,0.0001533787,0.0003234735,0.00002081927,0.00000795393,0.00001497656,0.0002834988,0.00004428239,0.000269516,0.9977252,0.001112026],"study_design_scores_gemma":[0.0003299265,0.00001657188,0.001372256,0.0002165872,0.00003776536,0.00002914026,0.0000721714,0.0006183579,0.0002222951,0.001834557,0.9952117,0.00003876856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003314818,0.0000225418,0.00004551,0.00002359074,0.00001127155,0.00000345085,0.9988497,0.0005169066,0.0004937398],"genre_scores_gemma":[0.0001683602,0.00003129932,0.0002120511,0.00002418564,0.000005176224,0.00004241082,0.998414,0.0002866182,0.0008157743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6890842,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037032984288939,"score_gpt":0.2754455503227008,"score_spread":0.2350752204798114,"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."}}