{"id":"W6944904758","doi":"10.18738/t8/ejonhj/7o4jqt","title":"IMGEO2_2018157_DEV_JKB2t_Y85a.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":["insufficient_payload"],"category_scores_codex":[0.00105736,0.003510631,0.001902699,0.003657298,0.001341311,0.003953585,0.004260781,0.003404951,0.3019907],"category_scores_gemma":[0.006110574,0.001173516,0.001797934,0.006492829,0.0006551076,0.002672322,0.003205866,0.002469564,0.4290264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831932,"about_ca_system_score_gemma":0.002430701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02993896,"about_ca_topic_score_gemma":0.05299011,"domain_scores_codex":[0.9989848,0.0001628619,0.00007735989,0.0003384336,0.0002010593,0.0002354505],"domain_scores_gemma":[0.9977317,0.000700394,0.0001578202,0.0005419595,0.0005688827,0.0002992354],"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":[0.00002518848,0.000006411512,0.0001146718,0.0001903984,0.000006762013,0.00000552961,0.000008253352,0.00006919641,0.0000308251,0.0001649437,0.9988422,0.0005357754],"study_design_scores_gemma":[0.0002393279,0.0000162472,0.001259078,0.0002130796,0.00001638619,0.00002698186,0.00006726487,0.0003006182,0.0002570296,0.001120229,0.9964569,0.00002698856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003706302,0.00002892536,0.00003254992,0.00006194256,0.00003073543,0.000005113996,0.9983339,0.0005696572,0.000900144],"genre_scores_gemma":[0.0001344554,0.00002976096,0.0001243372,0.0000510518,0.000009259529,0.00003751014,0.9983132,0.0002306068,0.001069803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6980093,"threshold_uncertainty_score":0.9956255,"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."}}