{"id":"W6963792588","doi":"10.22008/fk2/cs5lka/p5g4pd","title":"wi20cnd.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":[0.0008831994,0.002722685,0.002078069,0.004540662,0.0007176689,0.002977776,0.003392433,0.002064384,0.2112459],"category_scores_gemma":[0.005349002,0.001278346,0.001182149,0.01095038,0.000437859,0.002282295,0.002041588,0.001956035,0.2547322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431597,"about_ca_system_score_gemma":0.002184521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05479666,"about_ca_topic_score_gemma":0.07539253,"domain_scores_codex":[0.9991016,0.0001487067,0.0001025575,0.0002846121,0.0001825761,0.0001799134],"domain_scores_gemma":[0.9983177,0.000410645,0.0001639937,0.0004436029,0.0004857659,0.0001782981],"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":[0.00002021676,0.000006163043,0.0002058255,0.0002609263,0.00001345515,0.000006324877,0.0000105125,0.0001708636,0.0000198445,0.0003444654,0.9980353,0.0009061804],"study_design_scores_gemma":[0.0001484586,0.000007350637,0.001446615,0.0002047785,0.00001623613,0.0000202142,0.00005387448,0.00033748,0.0001196363,0.001242791,0.9963826,0.00001984375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002312641,0.00002028329,0.00003386287,0.00002082231,0.00001102625,0.000002549935,0.9991816,0.0002045385,0.0005021751],"genre_scores_gemma":[0.0001458374,0.00003306728,0.0001411737,0.00002053584,0.000004839288,0.00003287532,0.9987856,0.0001279417,0.0007081067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7887541,"threshold_uncertainty_score":0.7066879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477593427668994,"score_gpt":0.2789328740542398,"score_spread":0.2341569397775499,"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."}}