{"id":"W6963618779","doi":"10.22008/fk2/cs5lka/a8a2pl","title":"w50tfbw11.rtl","year":2022,"lang":"da","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":[0.00088652,0.002568786,0.001695508,0.00434916,0.0007771027,0.002822927,0.003052934,0.002013723,0.211781],"category_scores_gemma":[0.004727851,0.001179164,0.001147519,0.009629135,0.0004457622,0.00152739,0.001831386,0.001603339,0.2979639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119562,"about_ca_system_score_gemma":0.002044012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04584188,"about_ca_topic_score_gemma":0.06790511,"domain_scores_codex":[0.9991021,0.0001515262,0.00009581695,0.0002915634,0.0001695169,0.0001896253],"domain_scores_gemma":[0.9982419,0.0004467635,0.0001497584,0.0004883042,0.0004915706,0.0001817582],"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":[0.00002180647,0.000005616115,0.0001700029,0.000275341,0.00001300371,0.000005844599,0.00001197056,0.0001499825,0.00003782769,0.0002506112,0.9983145,0.0007435984],"study_design_scores_gemma":[0.0001530614,0.000008840286,0.001602932,0.0001615981,0.00001948856,0.00001966596,0.00006572748,0.000292859,0.0001740844,0.0009051076,0.9965757,0.00002089962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000287974,0.00001582463,0.0000357323,0.00001902126,0.00000891816,0.000002556159,0.9992428,0.0002376275,0.0004086871],"genre_scores_gemma":[0.0001520304,0.00002589843,0.0001371265,0.0000163346,0.000003510558,0.00002877948,0.9988304,0.0001439147,0.0006619873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.788219,"threshold_uncertainty_score":0.7084782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568189003421432,"score_gpt":0.2759492485347104,"score_spread":0.2302673585004961,"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."}}