{"id":"W4378418315","doi":"10.18280/ria.370204","title":"Poultry Meat Classification Using MobileNetV2 Pretrained Model","year":2023,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poultry meat; Artificial intelligence; Computer science; Pattern recognition (psychology); Biology; Food science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002928349,0.001400543,0.0005192549,0.0008905806,0.0003123084,0.0006445969,0.001080124,0.001041636,0.002167806],"category_scores_gemma":[0.0004940232,0.0002928572,0.0007435608,0.0004239559,0.0002390567,0.0005174759,0.0004048918,0.0007459199,0.001405846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046422,"about_ca_system_score_gemma":0.0007236404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067386,"about_ca_topic_score_gemma":0.03227828,"domain_scores_codex":[0.9998628,0.00001217351,0.000006161711,0.00005711255,0.00002170896,0.00003996242],"domain_scores_gemma":[0.9998437,0.0000346993,0.00001134081,0.00001918702,0.00007795445,0.0000131033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008729069,0.0007848868,0.02274786,0.0002513222,0.0003072093,0.0007877446,0.00009880432,0.4775852,0.0192801,0.001062231,0.03041856,0.4458032],"study_design_scores_gemma":[0.000011138,0.0001015098,0.002484256,0.00002406822,0.00002616787,0.00005759712,0.00003389828,0.9909049,0.004325117,0.0003360694,0.001684718,0.00001070381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8114309,0.003973468,0.1511198,0.001122611,0.001261739,0.0002775693,0.00644544,0.009268633,0.01509969],"genre_scores_gemma":[0.9402611,0.0005493586,0.0348009,0.0003641597,0.00009358184,0.0001440869,0.009695679,0.0001279709,0.01396323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03067386,"threshold_uncertainty_score":0.06099063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382081349110418,"score_gpt":0.3058147037628774,"score_spread":0.1676065688518357,"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."}}