{"id":"W6944939581","doi":"10.22008/fk2/cs5lka/oydqmt","title":"w50z10bw10.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":[0.0008289046,0.002500011,0.002034649,0.003790247,0.0006484817,0.002757902,0.003119663,0.00198612,0.2146199],"category_scores_gemma":[0.004520226,0.00129838,0.001044437,0.009686702,0.0004242286,0.001938881,0.001852937,0.001646814,0.2562211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193207,"about_ca_system_score_gemma":0.00193546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05890736,"about_ca_topic_score_gemma":0.07895534,"domain_scores_codex":[0.9992061,0.0001343585,0.00008651118,0.0002493415,0.0001561358,0.0001675949],"domain_scores_gemma":[0.9987098,0.000335998,0.0001277369,0.0003092644,0.0003830359,0.0001342345],"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":[0.00002293972,0.000006310344,0.0002354859,0.000298676,0.00001604833,0.000006910025,0.00001451005,0.0002293575,0.00002735573,0.0003808756,0.9977496,0.001011858],"study_design_scores_gemma":[0.0001655581,0.000008119467,0.0018333,0.0002228986,0.0000186005,0.00001909904,0.00007372163,0.0003640913,0.0001447102,0.001371801,0.9957545,0.00002359806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002785634,0.00002007092,0.00004165333,0.00002123631,0.00001128852,0.000002661544,0.9991822,0.0001891224,0.0005038643],"genre_scores_gemma":[0.0001977273,0.00003758502,0.0001684333,0.00002169633,0.000004841522,0.00003764949,0.9985247,0.0001624182,0.0008448972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7853801,"threshold_uncertainty_score":0.7179751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518586524546525,"score_gpt":0.2792957928157583,"score_spread":0.234109927570293,"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."}}