{"id":"W2058308402","doi":"10.1139/x04-103","title":"Automatic thresholding for digital hemispherical photography","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Digital photography; Radiance; Mathematics; Zenith; Thresholding; Pixel; Digital camera; Photography; Transmittance; Optics; Environmental science; Artificial intelligence; Geography; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000626096,0.00009917532,0.0001479422,0.0001400506,0.0002987063,0.0002504517,0.0004437226,0.00008363407,0.0002517335],"category_scores_gemma":[0.0004525401,0.0000738539,0.0001459301,0.0006471525,0.0004442074,0.0002946933,0.00003081827,0.0004180991,0.00007188916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000705755,"about_ca_system_score_gemma":0.0003702921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003697421,"about_ca_topic_score_gemma":0.03073288,"domain_scores_codex":[0.9983833,0.00002458928,0.0002532365,0.0001496965,0.0005609146,0.0006282621],"domain_scores_gemma":[0.9987034,0.0001103797,0.00007450065,0.0001590738,0.00009815954,0.0008544818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008477885,0.0001990941,0.7256157,0.0001075078,0.0001590586,0.001688046,0.003397159,0.03580614,0.009324455,0.001411591,0.1369317,0.08527476],"study_design_scores_gemma":[0.00331152,0.001849499,0.7486458,0.0007199359,0.00003751508,0.002590181,0.001600936,0.002196899,0.00514634,0.07472544,0.1583122,0.0008637581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916401,0.00008130802,0.0004654767,0.0009921835,0.0001211899,0.0002166614,0.000006349162,0.000006363202,0.006470358],"genre_scores_gemma":[0.9951163,0.000003812873,0.004536144,0.00005463418,0.0001293293,0.000001292868,0.000002049153,0.00001506913,0.0001413708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.084411,"threshold_uncertainty_score":0.9869537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747444214492625,"score_gpt":0.2828806102152789,"score_spread":0.2554061680703527,"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."}}