{"id":"W6963491283","doi":"10.22008/fk2/wp1tr3/ouk4jr","title":"w50z10_13.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":[0.0008561853,0.002437557,0.002035333,0.003839057,0.0007236849,0.002930835,0.003373284,0.002164527,0.2627557],"category_scores_gemma":[0.005021888,0.001459369,0.001129619,0.009836202,0.0004449912,0.002026292,0.002011519,0.001685761,0.2724637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341258,"about_ca_system_score_gemma":0.002228754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06602412,"about_ca_topic_score_gemma":0.08368745,"domain_scores_codex":[0.9991321,0.0001440107,0.00009551038,0.0002654802,0.0001703769,0.0001925447],"domain_scores_gemma":[0.9985171,0.0004326571,0.0001395719,0.0003258999,0.0004344917,0.000150302],"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":[0.00002519495,0.000006795676,0.0002486283,0.0003273563,0.0000170704,0.000007378283,0.00001506849,0.000218224,0.00002619626,0.0004055294,0.9977371,0.0009654801],"study_design_scores_gemma":[0.0001971355,0.00000945287,0.002007971,0.0002385276,0.00001980965,0.00001986027,0.00007524279,0.0003396307,0.0001512274,0.001372931,0.9955418,0.0000264831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002407481,0.00001717282,0.00003260613,0.00002063421,0.00001062133,0.000002584199,0.9992296,0.0001651166,0.000497646],"genre_scores_gemma":[0.000201998,0.00003405593,0.0001439551,0.00002623024,0.000005080563,0.00004458384,0.9984333,0.0001623508,0.0009484996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7372443,"threshold_uncertainty_score":0.8790054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0453364098118653,"score_gpt":0.279708895243155,"score_spread":0.2343724854312897,"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."}}