{"id":"W6888747711","doi":"10.22008/fk2/wp1tr3/otvyku","title":"c50an2.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.0009802184,0.002669382,0.002157683,0.004179278,0.0008158692,0.00301032,0.003630272,0.002421925,0.2369587],"category_scores_gemma":[0.005536939,0.001215415,0.001261495,0.0100887,0.0004906092,0.002034225,0.00187186,0.001971373,0.2655163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555386,"about_ca_system_score_gemma":0.002461584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06357476,"about_ca_topic_score_gemma":0.08279792,"domain_scores_codex":[0.999037,0.0001719271,0.00009788433,0.0002996423,0.0001948735,0.0001986454],"domain_scores_gemma":[0.9980781,0.0005442192,0.0001534464,0.0004834246,0.0005551822,0.0001855749],"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":[0.00002105107,0.000005161449,0.000158562,0.0002730116,0.0000129912,0.000005746903,0.000009010849,0.0002159934,0.00002056364,0.0003262384,0.9982262,0.0007254514],"study_design_scores_gemma":[0.0001766425,0.000007822839,0.00126495,0.0002284163,0.00001738898,0.00002167758,0.0000474909,0.0004162948,0.0001282235,0.001291294,0.9963759,0.00002384572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001973846,0.0000192608,0.00003038356,0.00002113673,0.00001088177,0.000002453016,0.9992247,0.0001977133,0.0004737186],"genre_scores_gemma":[0.0001545512,0.00003094524,0.0001506515,0.0000245107,0.000005049606,0.00003146354,0.9988248,0.000160406,0.0006177075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7630413,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}