{"id":"W6907703750","doi":"10.22008/fk2/cs5lka/yy1whi","title":"ctfshdgrey.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":[0.0008751408,0.00239018,0.001973482,0.00465477,0.0007148508,0.003071449,0.002968282,0.002060676,0.205494],"category_scores_gemma":[0.005782913,0.001313866,0.001102166,0.01089174,0.0004714862,0.001983367,0.001927595,0.00187393,0.2097096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679636,"about_ca_system_score_gemma":0.002747129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0676917,"about_ca_topic_score_gemma":0.08605492,"domain_scores_codex":[0.9990169,0.0001648194,0.0001053041,0.0002913389,0.0002165126,0.0002051488],"domain_scores_gemma":[0.9980394,0.0005633528,0.0001918138,0.0004854872,0.0005468639,0.0001731893],"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":[0.00002670496,0.000006035123,0.0002948983,0.0003242168,0.00001588296,0.000009031015,0.00001541508,0.0002447111,0.0000228282,0.0004767296,0.9975421,0.001021366],"study_design_scores_gemma":[0.0001449595,0.000007518624,0.001941134,0.0002357725,0.00001743168,0.00002827604,0.00006495287,0.0003271592,0.0001483561,0.001184994,0.9958761,0.00002332241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002561849,0.00002124324,0.0000299114,0.00002048524,0.000008736609,0.000002343059,0.999183,0.0001794066,0.0005293065],"genre_scores_gemma":[0.0002086388,0.00003825341,0.0001469568,0.00002047177,0.000004866502,0.00003477151,0.9986421,0.0001450176,0.0007589062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.794506,"threshold_uncertainty_score":0.687446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04476376962319482,"score_gpt":0.2793297494855873,"score_spread":0.2345659798623924,"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."}}