{"id":"W6964108444","doi":"10.22008/fk2/orktcu/xwiwev","title":"RECMISC.TXT","year":2021,"lang":"ca","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":["insufficient_payload"],"category_scores_codex":[0.001025153,0.003160096,0.00246083,0.005124624,0.0008912087,0.004282224,0.003922783,0.002068445,0.3001164],"category_scores_gemma":[0.005804136,0.001605065,0.001381184,0.01340508,0.0005042021,0.003030993,0.002443478,0.002343067,0.3403171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178331,"about_ca_system_score_gemma":0.002466863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06771224,"about_ca_topic_score_gemma":0.07991561,"domain_scores_codex":[0.9989681,0.000149143,0.0001211633,0.0003383023,0.0002017247,0.0002216328],"domain_scores_gemma":[0.9974691,0.0006023616,0.0002305868,0.0007598471,0.0007005766,0.0002375394],"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":[0.00001824826,0.00000404837,0.0001300838,0.0002074624,0.00001028916,0.000004303939,0.00001035354,0.00009593446,0.00001243385,0.000256074,0.9984983,0.0007524261],"study_design_scores_gemma":[0.0001362402,0.000005991224,0.001225077,0.0001788716,0.0000136474,0.00001542697,0.0000531766,0.0002286093,0.00009744652,0.0009175515,0.9971091,0.00001890989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001647183,0.00001686875,0.00002150548,0.00002359346,0.00001165566,0.000002454676,0.998904,0.0003448782,0.0006585146],"genre_scores_gemma":[0.0001674658,0.00003462404,0.0001261835,0.00002272236,0.000008159138,0.00003440923,0.9985378,0.0002782365,0.0007904524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6998836,"threshold_uncertainty_score":0.9982991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04771511701284369,"score_gpt":0.2819338059662193,"score_spread":0.2342186889533756,"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."}}