{"id":"W6907558917","doi":"10.22008/fk2/cs5lka/5rcpik","title":"w50vgbw11.rtl","year":2022,"lang":"da","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Linguistics and Cultural Studies","field":"Arts and Humanities","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":[0.001093576,0.003902339,0.002233554,0.005041196,0.0009687869,0.003455603,0.004149608,0.003261203,0.1330206],"category_scores_gemma":[0.004967362,0.001195567,0.001600754,0.009058666,0.0007074953,0.001755963,0.002436948,0.002106204,0.2730972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253299,"about_ca_system_score_gemma":0.002038672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02915473,"about_ca_topic_score_gemma":0.04504989,"domain_scores_codex":[0.9988282,0.0002111609,0.0001195133,0.0004021931,0.0002206049,0.0002182842],"domain_scores_gemma":[0.9984256,0.0004029322,0.0001475965,0.0004916672,0.0003406241,0.0001915415],"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":[0.00002871354,0.0000128957,0.0001989636,0.0003459012,0.00001795436,0.000009083758,0.0000143513,0.0001745373,0.00006320447,0.0002018799,0.9979838,0.0009486447],"study_design_scores_gemma":[0.0002813634,0.00002026023,0.002056513,0.0002189591,0.00003585833,0.0000406814,0.00008782541,0.0005353544,0.0002675068,0.001035917,0.995388,0.0000318274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005480364,0.00003001051,0.00004315813,0.00002556625,0.00001322922,0.000005323249,0.9991177,0.0003890734,0.0003211747],"genre_scores_gemma":[0.0001333063,0.00002593493,0.0001241541,0.00001726814,0.000003749768,0.0000374341,0.9992105,0.00008343341,0.0003642696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8669794,"threshold_uncertainty_score":0.4449983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0637094920069497,"score_gpt":0.256820005292945,"score_spread":0.1931105132859953,"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."}}