{"id":"W6888519845","doi":"10.18738/t8/ejonhj/dkq0nd","title":"IMGEO2_2018153_DEV_JKB2t_Y71a.txt","year":2024,"lang":"en","type":"dataset","venue":"Texas Digital Library (University of Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","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":[0.001091319,0.003736645,0.001986744,0.003721535,0.001373175,0.004113471,0.004424184,0.003569254,0.2934832],"category_scores_gemma":[0.006109109,0.00123598,0.001879578,0.006597052,0.0006838747,0.00273339,0.003284392,0.002544893,0.4285623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900205,"about_ca_system_score_gemma":0.0025018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03103809,"about_ca_topic_score_gemma":0.05429185,"domain_scores_codex":[0.9989651,0.0001673242,0.00007769529,0.0003488084,0.0002020464,0.0002390002],"domain_scores_gemma":[0.9977593,0.0007134932,0.0001544034,0.0005408071,0.000536552,0.000295445],"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":[0.00002542846,0.000006707854,0.0001173044,0.0002003416,0.000007259424,0.000005910347,0.000008683927,0.00007416485,0.0000311319,0.000169946,0.9988096,0.0005435446],"study_design_scores_gemma":[0.000246703,0.00001669452,0.001249474,0.0002149475,0.00001727778,0.00002871525,0.00006924228,0.0003232358,0.0002678232,0.001158535,0.996379,0.0000285304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003705814,0.00003128609,0.00003353014,0.00006331191,0.0000316413,0.00000510356,0.9983158,0.0006109825,0.000871236],"genre_scores_gemma":[0.0001352355,0.00003181867,0.0001277374,0.00005123169,0.000009335376,0.00003723475,0.9983516,0.0002363946,0.001019526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7065167,"threshold_uncertainty_score":0.9817992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060996403661756,"score_gpt":0.1914588396809049,"score_spread":0.1808488756442874,"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."}}