{"id":"W6907470970","doi":"10.22008/fk2/orktcu/ry81rv","title":"21905-vol2.pdf","year":2021,"lang":"pl","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":["insufficient_payload"],"category_scores_codex":[0.001075584,0.002508017,0.002062237,0.00493814,0.0007245992,0.004217204,0.003087227,0.002195341,0.3563598],"category_scores_gemma":[0.005988128,0.001767353,0.001069998,0.01243547,0.0005012068,0.002777803,0.002247293,0.001889662,0.3812884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710791,"about_ca_system_score_gemma":0.002331396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04838881,"about_ca_topic_score_gemma":0.04724554,"domain_scores_codex":[0.9990507,0.0001346657,0.0001302379,0.0002548718,0.0002122652,0.0002172181],"domain_scores_gemma":[0.9978412,0.0006156329,0.000215714,0.000497713,0.0006076326,0.0002221427],"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":[0.00002392439,0.000007489495,0.000226135,0.000318177,0.00001039947,0.000007021371,0.00001212397,0.0001681681,0.00001791054,0.0003841605,0.9974726,0.001351901],"study_design_scores_gemma":[0.0001592417,0.000008764482,0.001685698,0.000259809,0.00001077028,0.00002104715,0.00006021946,0.0002310503,0.0001088319,0.001140165,0.9962942,0.00002022082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001942905,0.00002026348,0.00002494073,0.00002624171,0.00001154583,0.000002622273,0.9989812,0.0002267738,0.0006870533],"genre_scores_gemma":[0.0002305941,0.000053272,0.0001422879,0.00003244211,0.000008147382,0.00004396368,0.9978334,0.0002259144,0.001430061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6436402,"threshold_uncertainty_score":0.9180747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229217960631689,"score_gpt":0.2737631919956452,"score_spread":0.2314710123893284,"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."}}