{"id":"W6907555961","doi":"10.22008/fk2/wp1tr3/2smtrk","title":"wi20tf_b.rtl","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":[0.0008314098,0.002761878,0.001980398,0.00414646,0.000769789,0.003030387,0.003414005,0.002259915,0.2437039],"category_scores_gemma":[0.005479012,0.001355808,0.001185956,0.01025417,0.0004391971,0.002228419,0.002139606,0.001845496,0.2975525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481312,"about_ca_system_score_gemma":0.002131721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05502976,"about_ca_topic_score_gemma":0.06803711,"domain_scores_codex":[0.9991345,0.0001396561,0.00009100761,0.0002779704,0.0001761586,0.0001807307],"domain_scores_gemma":[0.9983399,0.0004833103,0.0001355427,0.000444575,0.0004283137,0.0001682984],"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":[0.00002229452,0.000006539293,0.0001711241,0.0002677281,0.00001256261,0.00000692837,0.00001304532,0.0001777872,0.00002724009,0.0003477875,0.9980115,0.0009354469],"study_design_scores_gemma":[0.0001501746,0.000007867387,0.001383807,0.0001780428,0.00001583733,0.0000208886,0.00005736911,0.0003399565,0.000154227,0.001310029,0.99636,0.00002176224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002247108,0.00001588039,0.00003700501,0.00002119312,0.000008709557,0.000002565107,0.9991165,0.0002625884,0.0005129466],"genre_scores_gemma":[0.0001420564,0.00002811927,0.0001334373,0.0000190038,0.000003912814,0.00003514383,0.998845,0.0001496278,0.0006436474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7562962,"threshold_uncertainty_score":0.8152707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04442717571581967,"score_gpt":0.2784082295439866,"score_spread":0.233981053828167,"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."}}