{"id":"W7162894398","doi":"","title":"Classification of natural indoor and outdoor scenes from radiometric, photometric, and colorimetric features","year":2024,"lang":"","type":"other","venue":"MPG.PuRe (Max Planck Society)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RGB color model; Metadata; Light intensity; Observer (physics); Illuminance; Natural (archaeology); Field (mathematics); Artificial light","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004780072,0.001610447,0.001042266,0.006123788,0.0004966264,0.001387001,0.001287174,0.0008110235,0.002171805],"category_scores_gemma":[0.001327304,0.0002286802,0.001196648,0.00516179,0.0006418096,0.001611891,0.001548939,0.0004795746,0.003914965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007196561,"about_ca_system_score_gemma":0.0009424345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01355064,"about_ca_topic_score_gemma":0.0326308,"domain_scores_codex":[0.9987929,0.00009101677,0.0001187269,0.0004301184,0.0003222295,0.0002450507],"domain_scores_gemma":[0.9990875,0.0001040457,0.0001712181,0.0001793149,0.0003582734,0.00009961398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001844453,0.000913668,0.2752447,0.007720127,0.0006898562,0.001152521,0.0008138445,0.009383655,0.05111115,0.002491492,0.2137096,0.434925],"study_design_scores_gemma":[0.0001110562,0.0004971236,0.5841123,0.001430177,0.0005443201,0.002812739,0.004289776,0.04737421,0.02679995,0.00406282,0.3276039,0.0003615301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3778542,0.01025195,0.04006915,0.0005339722,0.0006441678,0.0008859216,0.5357584,0.01189603,0.0221061],"genre_scores_gemma":[0.2734523,0.002549305,0.05098769,0.0002397262,0.0001805999,0.0006034849,0.6677756,0.0005053613,0.003706003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01355064,"threshold_uncertainty_score":0.0269435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651184593219358,"score_gpt":0.2633291924153134,"score_spread":0.2468173464831199,"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."}}