{"id":"W6944892059","doi":"10.22008/fk2/wp1tr3/u7n44r","title":"w50acbw6.rtl","year":2022,"lang":"bpy","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","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":[0.001279627,0.003118247,0.002573424,0.004758148,0.001089349,0.003763041,0.004230687,0.002782273,0.2389084],"category_scores_gemma":[0.005462955,0.001343051,0.001319923,0.0095895,0.000625178,0.001698439,0.002636624,0.00198757,0.2999458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009952001,"about_ca_system_score_gemma":0.002056788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01904991,"about_ca_topic_score_gemma":0.03085389,"domain_scores_codex":[0.9989016,0.0002053526,0.0001043821,0.0003939843,0.0001802247,0.0002144173],"domain_scores_gemma":[0.9983832,0.00050399,0.0001631518,0.000435749,0.0002883959,0.0002255098],"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":[0.00006961069,0.00001623779,0.0003789256,0.0007821022,0.00003806611,0.00001410532,0.00003414196,0.0002149239,0.0001600311,0.0004559222,0.9964495,0.00138645],"study_design_scores_gemma":[0.0003292414,0.00001551214,0.001812931,0.000190888,0.00004281528,0.00002995303,0.00007257803,0.0002753119,0.0003164146,0.001282958,0.9956012,0.00003010628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004781457,0.00002152146,0.00004878033,0.00001701528,0.000007225919,0.000004521575,0.9989545,0.0005502783,0.0003482446],"genre_scores_gemma":[0.0002479798,0.00003084946,0.0002327876,0.00002476694,0.000003678586,0.00005150024,0.9986117,0.0003499267,0.0004469429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7610916,"threshold_uncertainty_score":0.7992283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573676152955175,"score_gpt":0.2513977523002462,"score_spread":0.2256609907706945,"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."}}