{"id":"W6926170035","doi":"10.22008/fk2/3bvf9v/nt1nf0","title":"boreholes.kml","year":2022,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metadata; Identification (biology); Process (computing); Natural (archaeology)","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":[0.001149363,0.003442544,0.001860629,0.006546378,0.0007703225,0.002700485,0.003036056,0.002949561,0.104043],"category_scores_gemma":[0.006702263,0.001578071,0.001995549,0.01000719,0.0007185661,0.001830756,0.002335913,0.001932524,0.1274683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496533,"about_ca_system_score_gemma":0.003339096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04350963,"about_ca_topic_score_gemma":0.0589255,"domain_scores_codex":[0.9983127,0.0002047756,0.0002533604,0.0005309309,0.0003865684,0.0003116933],"domain_scores_gemma":[0.996684,0.000825653,0.000484703,0.0009453468,0.0007023972,0.0003578033],"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":[0.00009175777,0.00004038006,0.001123517,0.0009351138,0.00004830142,0.00003088326,0.00004353826,0.0009466633,0.0001587593,0.0004583994,0.9935548,0.002567853],"study_design_scores_gemma":[0.0006408567,0.00003940663,0.00680291,0.0005279588,0.00005856706,0.00007579061,0.0001840099,0.001125727,0.0004661749,0.001596371,0.9884018,0.00008036698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008891634,0.0000191884,0.00003770985,0.00001381451,0.00001041106,0.000007605493,0.9993704,0.0002272692,0.0002246442],"genre_scores_gemma":[0.0003175279,0.00003010687,0.0002124878,0.00001847365,0.000003382307,0.00005157302,0.9990183,0.0000733851,0.000274782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8959571,"threshold_uncertainty_score":0.3480583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470386813988318,"score_gpt":0.3568270497182725,"score_spread":0.2097883683194407,"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."}}