{"id":"W6964053262","doi":"10.22008/fk2/cs5lka/pjfadm","title":"chrisdtm.gsf","year":2022,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Ecology and biodiversity studies","field":"Environmental Science","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":[0.001445399,0.003567811,0.00248318,0.008052312,0.001045125,0.004663945,0.003257936,0.002313854,0.4474912],"category_scores_gemma":[0.009012389,0.001509107,0.001336172,0.01226547,0.0006019555,0.002118641,0.003166677,0.001684368,0.4987318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743436,"about_ca_system_score_gemma":0.003025704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04034192,"about_ca_topic_score_gemma":0.05410169,"domain_scores_codex":[0.9985683,0.000250197,0.0001325913,0.0004568782,0.0003083213,0.0002836605],"domain_scores_gemma":[0.996721,0.0008695904,0.0003434853,0.0009904603,0.0006332999,0.0004422019],"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":[0.0000303171,0.000005816544,0.0002081593,0.0003496819,0.00001388279,0.000005824659,0.00001869037,0.0001761928,0.00003347461,0.0003910268,0.9970095,0.001757453],"study_design_scores_gemma":[0.0001192171,0.0000065308,0.0008094775,0.0001808719,0.00001896732,0.00001670076,0.00003917378,0.0002289664,0.0001053642,0.001277989,0.9971755,0.00002111472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002562645,0.00002925352,0.00003953319,0.00002556379,0.00001117172,0.000003725067,0.9986083,0.0004073342,0.0008494959],"genre_scores_gemma":[0.0002394407,0.00006525413,0.0002573932,0.00004481807,0.000006817076,0.00005941694,0.9971946,0.0004324029,0.001699822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4474912,"threshold_uncertainty_score":0.7880868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628436026831815,"score_gpt":0.2283566291384721,"score_spread":0.2020722688701539,"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."}}