{"id":"W11478613","doi":"10.1177/104063870101300416","title":"آندایزینگ تیتانیم: عوامل موثر بر رنگ","year":2015,"lang":"en","type":"article","venue":"انجمن اپتیک و فوتونیک ایران","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001342993,0.0004357407,0.0002651173,0.0006611144,0.0005956233,0.001461467,0.0003212442,0.0007026085,0.01517999],"category_scores_gemma":[0.002247899,0.0003682816,0.0002113591,0.0006994188,0.001051824,0.0006022645,0.0007233015,0.0009711554,0.007442555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009851735,"about_ca_system_score_gemma":0.001109496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002602983,"about_ca_topic_score_gemma":0.004441814,"domain_scores_codex":[0.9988967,0.0001471781,0.000110526,0.0001192585,0.0006154683,0.0001107727],"domain_scores_gemma":[0.9990102,0.0001974205,0.0001931833,0.00004453326,0.000496953,0.00005773727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001184063,0.0001735683,0.01014583,0.0007178547,0.00004883335,0.004188366,0.003127731,0.0006509136,0.6402467,0.01580736,0.005818937,0.3178896],"study_design_scores_gemma":[0.0001759692,0.001116351,0.06704171,0.000521114,0.0001247131,0.01121935,0.00800057,0.004809688,0.5480624,0.0124741,0.3462203,0.0002336925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7128912,0.008932282,0.1254099,0.004001654,0.001665689,0.0006948031,0.0007150444,0.0006089449,0.1450805],"genre_scores_gemma":[0.7692972,0.007186506,0.1051881,0.0008291975,0.0003389333,0.0008130439,0.0009348087,0.0002704428,0.1151417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01517999,"threshold_uncertainty_score":0.05078214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263892146287864,"score_gpt":0.2443108831295829,"score_spread":0.1179216685007966,"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."}}