{"id":"W6944822473","doi":"10.18738/t8/ejonhj/d7eqa6","title":"IMGEO2_2018158_DEV_JKB2t_Y89a.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":[0.00110494,0.003814019,0.001978678,0.00365007,0.001387672,0.003976555,0.004511424,0.003584926,0.2851062],"category_scores_gemma":[0.00606179,0.001219937,0.001948276,0.006257546,0.0007026118,0.002718944,0.003271429,0.002553447,0.4265041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867759,"about_ca_system_score_gemma":0.002462678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02948286,"about_ca_topic_score_gemma":0.0525708,"domain_scores_codex":[0.9989545,0.0001682311,0.00007776215,0.000355768,0.0002054128,0.0002382449],"domain_scores_gemma":[0.9978406,0.0006699535,0.0001457607,0.0005343338,0.0005214741,0.0002878692],"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":[0.00002678521,0.000007116149,0.0001142756,0.0001989926,0.000007580586,0.000006082772,0.000008555894,0.00007882537,0.00003420801,0.0001597463,0.9987914,0.0005663634],"study_design_scores_gemma":[0.0002703868,0.00001869422,0.00128356,0.0002163943,0.00001880113,0.00003216407,0.0000705688,0.0003728147,0.0002991611,0.001213377,0.9961739,0.00003025869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004315905,0.00003412306,0.00003812323,0.00006613761,0.00003495159,0.000005765597,0.9981837,0.0006884162,0.0009057574],"genre_scores_gemma":[0.0001395209,0.00003087831,0.0001347998,0.000050343,0.000009418581,0.00003883478,0.9983386,0.0002416512,0.001015912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7148938,"threshold_uncertainty_score":0.9537754,"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."}}