{"id":"W6963912485","doi":"10.22008/fk2/cs5lka/f2p9yj","title":"cshdca4.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":[0.001017955,0.003030884,0.002339995,0.004844665,0.0008716908,0.003143323,0.004266435,0.002638581,0.1884423],"category_scores_gemma":[0.005876799,0.001293703,0.001570874,0.01073863,0.0005741786,0.002097162,0.002088766,0.002178892,0.2326485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693457,"about_ca_system_score_gemma":0.002831272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06264498,"about_ca_topic_score_gemma":0.08315459,"domain_scores_codex":[0.9988629,0.0001973307,0.0001117409,0.0003430161,0.0002415728,0.0002434707],"domain_scores_gemma":[0.9979168,0.0005512811,0.0001531095,0.0005735747,0.0006042562,0.0002011388],"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":[0.00002344887,0.000006105673,0.000161209,0.0002603547,0.00001520659,0.000005467883,0.000009086119,0.0002215176,0.00002525882,0.0003039606,0.9982393,0.0007290788],"study_design_scores_gemma":[0.0002171269,0.000009830326,0.001467451,0.0002023973,0.00002192036,0.00002390509,0.00005549975,0.0005277351,0.000188328,0.00144049,0.9958178,0.00002742576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002669156,0.0000230571,0.00003552441,0.00002303963,0.00001249421,0.000003009047,0.9991843,0.0003164125,0.0003754774],"genre_scores_gemma":[0.0001508682,0.00002922059,0.0001614249,0.00001953423,0.000004836385,0.00003051272,0.9989768,0.000146817,0.0004799331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8115577,"threshold_uncertainty_score":0.6304023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525502929452116,"score_gpt":0.2796625931258838,"score_spread":0.2344075638313627,"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."}}