{"id":"W6888738589","doi":"10.22008/fk2/cs5lka/pkmctn","title":"c50vgbw6.rtl","year":2021,"lang":"bpy","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":[0.0009169124,0.003457735,0.002754883,0.004829928,0.0008662806,0.003241294,0.003888074,0.002668535,0.2081169],"category_scores_gemma":[0.004906639,0.001561415,0.001370275,0.01174077,0.0005664177,0.002187328,0.002126968,0.002227372,0.2873913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292307,"about_ca_system_score_gemma":0.002178153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05328662,"about_ca_topic_score_gemma":0.05992556,"domain_scores_codex":[0.9990846,0.000137663,0.00008107253,0.0003104531,0.0001892581,0.0001969275],"domain_scores_gemma":[0.9984761,0.0003645157,0.0001291542,0.0004319914,0.0004227013,0.0001755394],"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":[0.0000283982,0.000006941078,0.0001821357,0.0002979249,0.00001829657,0.00000679729,0.00001346722,0.0002584765,0.00003350459,0.0002631209,0.9978873,0.001003731],"study_design_scores_gemma":[0.0002378776,0.00001083052,0.001994712,0.0002199948,0.00002563246,0.00002838795,0.00005477795,0.0005620665,0.0001938224,0.001407648,0.9952304,0.00003382011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002663607,0.00002222844,0.00003914234,0.00001771486,0.00001125713,0.000002782253,0.9990307,0.0004689128,0.000380588],"genre_scores_gemma":[0.0001541031,0.00002969069,0.0001701629,0.00001596469,0.000005090582,0.00002845737,0.9989493,0.0002522758,0.0003949184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7918831,"threshold_uncertainty_score":0.6962205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839997110904299,"score_gpt":0.2816380311352333,"score_spread":0.2332380600261903,"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."}}