{"id":"W6888776648","doi":"10.22008/fk2/cs5lka/w5jeay","title":"wi20anfp.rtl","year":2022,"lang":"gd","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":[0.0008214607,0.002678755,0.001686649,0.004593334,0.0006444068,0.002539865,0.003482878,0.001930385,0.1963437],"category_scores_gemma":[0.004806173,0.001116448,0.001132391,0.009618323,0.0003934092,0.001633473,0.00190033,0.001592845,0.2668786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364772,"about_ca_system_score_gemma":0.002023937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05463853,"about_ca_topic_score_gemma":0.07710128,"domain_scores_codex":[0.9992286,0.0001166426,0.0000684413,0.0002492325,0.0001741102,0.0001629132],"domain_scores_gemma":[0.9985235,0.0003278406,0.0001271318,0.0004393293,0.0004300721,0.0001520987],"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":[0.00001848392,0.000005938722,0.0001694807,0.0001844866,0.00001173676,0.000005668692,0.000009083207,0.0001342642,0.00002791987,0.0002301835,0.9982182,0.000984455],"study_design_scores_gemma":[0.0001660016,0.000008001104,0.001516518,0.00012759,0.00001886651,0.00002129087,0.00004536286,0.0003945565,0.0001561502,0.001002374,0.9965256,0.00001762895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003387855,0.00001550453,0.00004703876,0.00002690029,0.000009376429,0.000003333275,0.9989364,0.0003785992,0.0005490755],"genre_scores_gemma":[0.000154763,0.00002388016,0.0001658476,0.00002051533,0.00000391741,0.00003182665,0.9987355,0.0001617438,0.0007020262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8036563,"threshold_uncertainty_score":0.6568352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528474284765018,"score_gpt":0.2760272431184903,"score_spread":0.2307425002708401,"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."}}