{"id":"W6926633627","doi":"10.22008/fk2/wp1tr3/uqyieq","title":"wi20tf.rtl","year":2022,"lang":"ca","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Misinformation and Its Impacts","field":"Social Sciences","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":[0.001181028,0.003082921,0.002043935,0.004394359,0.0009861769,0.003651227,0.003705901,0.002661853,0.2688359],"category_scores_gemma":[0.006657907,0.001102574,0.001462895,0.0099252,0.0005418541,0.002425899,0.002750652,0.002163938,0.4317978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572013,"about_ca_system_score_gemma":0.002186267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03195186,"about_ca_topic_score_gemma":0.05203179,"domain_scores_codex":[0.9987997,0.0001892708,0.0001411578,0.0003637015,0.0002593383,0.000246786],"domain_scores_gemma":[0.9976085,0.0004850775,0.0001881131,0.0008427189,0.000591327,0.000284167],"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":[0.00001722558,0.000007520171,0.0001088987,0.0001849066,0.000007378383,0.00000393441,0.000008614677,0.00007580681,0.00002819805,0.000189679,0.9986063,0.0007615107],"study_design_scores_gemma":[0.0001998218,0.000009789047,0.0008911877,0.0001369895,0.00001364143,0.00001490328,0.00005170253,0.0002610115,0.000149764,0.0009740371,0.997281,0.00001623876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002037199,0.00001310929,0.0000277234,0.00002958044,0.00001090199,0.000004903553,0.9989354,0.0004146628,0.0005432779],"genre_scores_gemma":[0.0001205029,0.00002732655,0.0001358832,0.00003114451,0.0000051288,0.00004666783,0.9987482,0.0001375993,0.0007475225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7311641,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435057613378234,"score_gpt":0.3111554939814142,"score_spread":0.2568049178476319,"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."}}