{"id":"W7084669533","doi":"10.1093/jof/100.2.45","title":"Updating Inventory Using Oblique Videogrammetry and Data Fusion","year":2002,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Oblique case; Sensor fusion; Fusion; Interpretation (philosophy); Cloud computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741035,0.00009781834,0.0001323815,0.00005159998,0.00005550785,0.00004462975,0.000358021,0.0001084852,0.00004023256],"category_scores_gemma":[0.0001967064,0.00008470782,0.00005052804,0.00005389399,0.00005280223,0.00002216302,0.0002979732,0.0001376923,0.000001162258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009333667,"about_ca_system_score_gemma":0.00003605224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008761197,"about_ca_topic_score_gemma":0.000005400676,"domain_scores_codex":[0.9992632,0.0000431608,0.0002732381,0.0001542686,0.0001221777,0.0001439013],"domain_scores_gemma":[0.9991449,0.000008767781,0.0002611899,0.0004175066,0.00006608579,0.0001016182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001285093,0.0001484695,0.04840809,0.0000665076,0.0001409757,0.00009534808,0.00007140853,0.00002708767,0.9173188,0.00003539189,0.00538794,0.02817154],"study_design_scores_gemma":[0.01476092,0.009389359,0.1135591,0.001896945,0.001227702,0.01946325,0.003235615,0.03768319,0.2613454,0.003825485,0.5297426,0.003870441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962159,0.002424546,0.0004356309,0.00008466989,0.0002500909,0.00003372772,0.00001013519,0.000002956174,0.0005423866],"genre_scores_gemma":[0.995692,0.0005200009,0.002942988,0.0001472269,0.0005719679,2.219469e-7,0.00001873195,0.0000152086,0.00009162771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6559734,"threshold_uncertainty_score":0.3454285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350288831585715,"score_gpt":0.2872019696199549,"score_spread":0.2436990813040977,"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."}}