{"id":"W6963576430","doi":"10.22008/fk2/cs5lka/tw02zb","title":"cemraw.001","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.000967685,0.002877728,0.002152113,0.004329084,0.0008766694,0.003748564,0.003639236,0.002366942,0.2645786],"category_scores_gemma":[0.005593335,0.001462347,0.001208728,0.01077466,0.0005088382,0.002472143,0.002380221,0.002029345,0.3191175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339707,"about_ca_system_score_gemma":0.001957322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03843803,"about_ca_topic_score_gemma":0.05543618,"domain_scores_codex":[0.9990995,0.0001646153,0.00008853065,0.0003130034,0.0001596236,0.0001748573],"domain_scores_gemma":[0.9982548,0.0004799411,0.0001651561,0.0005029499,0.0003936725,0.0002034308],"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":[0.00002103759,0.000006084188,0.0001845497,0.0002526128,0.00001146826,0.000006198167,0.0000124252,0.0001456397,0.00001827868,0.0003156493,0.9981001,0.0009260166],"study_design_scores_gemma":[0.000173443,0.000009224871,0.001284359,0.0002190566,0.00001400619,0.00002161716,0.00006264214,0.0003051117,0.00009686266,0.001197334,0.9965971,0.00001925799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002618505,0.00002626203,0.00002966561,0.00002724139,0.00001274875,0.000002573624,0.9990294,0.0002748823,0.0005710713],"genre_scores_gemma":[0.0001896886,0.00004288383,0.0001627261,0.00003080478,0.000007366144,0.00003602732,0.9985865,0.0001799778,0.0007639925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7354214,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538684047481153,"score_gpt":0.2782139512550459,"score_spread":0.2328271107802344,"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."}}