{"id":"W6888855693","doi":"10.22008/fk2/cs5lka/jfj52x","title":"w250shdtfc.rtl","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":[0.0008584212,0.00240568,0.001861083,0.00445477,0.0007344983,0.002854214,0.003328978,0.00203405,0.2940931],"category_scores_gemma":[0.005159349,0.001149881,0.001133427,0.009989392,0.0004489654,0.001620138,0.001894895,0.001515146,0.336595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275396,"about_ca_system_score_gemma":0.002015789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05359665,"about_ca_topic_score_gemma":0.08176979,"domain_scores_codex":[0.9991523,0.0001462789,0.00007987554,0.0002810662,0.0001644907,0.0001758926],"domain_scores_gemma":[0.998297,0.0004951523,0.0001315908,0.0004484306,0.000474647,0.0001531581],"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":[0.00001911603,0.00000468631,0.0001635264,0.0002582509,0.00001286852,0.00000681106,0.00001117611,0.0001650913,0.00002656166,0.0002599593,0.9981663,0.0009057019],"study_design_scores_gemma":[0.0001458321,0.000006797947,0.001374473,0.0001543854,0.00001852726,0.00001965622,0.00005066336,0.0002592135,0.0001275566,0.0009791696,0.9968443,0.00001949498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002808143,0.00001771239,0.00004467434,0.00002131933,0.000009375268,0.000002872905,0.9990165,0.0002630268,0.000596516],"genre_scores_gemma":[0.0001726096,0.0000273056,0.0001582637,0.00002184479,0.000004366172,0.00003315995,0.9984539,0.0002022591,0.0009262092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7059069,"threshold_uncertainty_score":0.9838395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440273991979599,"score_gpt":0.2773398340409052,"score_spread":0.2329370941211092,"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."}}