{"id":"W6963653340","doi":"10.22008/fk2/cs5lka/xnvgjf","title":"c50z10bw4.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":[0.0009314767,0.002626012,0.002199756,0.004145382,0.0008294446,0.002969628,0.003645206,0.002402049,0.2382789],"category_scores_gemma":[0.005576677,0.001258565,0.001220091,0.01037863,0.0004937097,0.001899485,0.001888712,0.001830641,0.2676255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164952,"about_ca_system_score_gemma":0.002708902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08569609,"about_ca_topic_score_gemma":0.1077749,"domain_scores_codex":[0.9990593,0.0001558113,0.00009395886,0.0002941448,0.0001912787,0.0002056011],"domain_scores_gemma":[0.9982157,0.0004867626,0.0001422574,0.0004090434,0.0005769764,0.0001693285],"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":[0.00002243724,0.000005128993,0.0001826561,0.0002961729,0.00001423858,0.000005501641,0.00001071826,0.0002228325,0.00002234457,0.0003312449,0.9981268,0.0007599675],"study_design_scores_gemma":[0.000176945,0.000007145649,0.001495816,0.0002333561,0.00001925583,0.00001858658,0.00005515701,0.0003580665,0.0001353669,0.001252165,0.9962229,0.00002537139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002034457,0.00002061619,0.00003013904,0.0000203354,0.00001005531,0.000002514889,0.9992773,0.0001765959,0.000442127],"genre_scores_gemma":[0.0001640115,0.00003492488,0.0001484345,0.00002341517,0.000004527876,0.00003395434,0.998744,0.0001602505,0.0006863984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7617211,"threshold_uncertainty_score":0.7971222,"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."}}