{"id":"W6945375434","doi":"10.22008/fk2/cs5lka/li9j2v","title":"cemraw.001","year":2022,"lang":"en","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":[],"consensus_categories":[],"category_scores_codex":[0.0008969287,0.002353661,0.001608828,0.004245478,0.0006908482,0.003424354,0.00300588,0.001905203,0.2751598],"category_scores_gemma":[0.005700759,0.001134763,0.001120061,0.00976803,0.0004127582,0.001777369,0.002052616,0.001623073,0.3065105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155568,"about_ca_system_score_gemma":0.001926827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04351308,"about_ca_topic_score_gemma":0.06768811,"domain_scores_codex":[0.9992199,0.0001384659,0.00008309283,0.0002663712,0.0001519584,0.0001401385],"domain_scores_gemma":[0.9982851,0.0004742884,0.00016979,0.0004296046,0.0004544586,0.0001866873],"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":[0.00001711744,0.000004656572,0.0001943175,0.0002674881,0.00001134323,0.000005673945,0.0000117945,0.0001268693,0.00001979795,0.0003036416,0.9981214,0.0009157668],"study_design_scores_gemma":[0.0001348914,0.000006922599,0.001285018,0.0001714502,0.00001559957,0.0000186408,0.00005159516,0.000210789,0.00007756172,0.0008329547,0.9971802,0.00001439542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000263188,0.0000246061,0.00003147744,0.00002850698,0.00001077606,0.000002677282,0.998946,0.0002148364,0.0007147598],"genre_scores_gemma":[0.0001979899,0.00004432653,0.0001904891,0.00003192263,0.000006348136,0.00003387189,0.9982836,0.00017037,0.001041046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2751598,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04439472959553022,"score_gpt":0.2758614131884768,"score_spread":0.2314666835929466,"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."}}