{"id":"W6944929458","doi":"10.22008/fk2/wp1tr3/8vgjpq","title":"washvg.txt","year":2022,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":[0.0008265943,0.002462186,0.001726067,0.004426438,0.0007091512,0.004335829,0.002825366,0.001745462,0.3368008],"category_scores_gemma":[0.004565752,0.001135276,0.0009098648,0.01125443,0.000381118,0.002559712,0.002294221,0.001783992,0.4641812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152893,"about_ca_system_score_gemma":0.001698675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02824769,"about_ca_topic_score_gemma":0.0444741,"domain_scores_codex":[0.999171,0.0001256229,0.00009623927,0.000298689,0.0001661032,0.0001422944],"domain_scores_gemma":[0.9983618,0.0004255165,0.0001445139,0.0004598645,0.0004560269,0.0001523356],"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":[0.00001447679,0.000003643799,0.0001104093,0.0001876918,0.000006926808,0.000004010573,0.00001314158,0.00007758431,0.00001749072,0.0003582515,0.9979673,0.001239089],"study_design_scores_gemma":[0.00004753323,0.000003775144,0.0006128018,0.0001257927,0.000007814981,0.0000097451,0.00004363354,0.0001013472,0.00007498136,0.0009420371,0.9980203,0.00001028609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002215857,0.00002075829,0.00004441203,0.00002947679,0.00001081703,0.00000367612,0.9977891,0.000445737,0.001633833],"genre_scores_gemma":[0.0001507742,0.00005105246,0.0002018396,0.00003481077,0.000006427479,0.00003933446,0.9969683,0.0003507039,0.002196782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6631992,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347951173027927,"score_gpt":0.2754491019264425,"score_spread":0.2319695901961632,"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."}}