{"id":"W4378418349","doi":"10.18280/ria.370223","title":"Computer Intelligence-Based Fruit Grading: A Review","year":2023,"lang":"en","type":"review","venue":"Revue d intelligence artificielle","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grading (engineering); Computer science; Artificial intelligence; Biology; Ecology","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":[0.0008588437,0.0009283826,0.00152657,0.003490773,0.0002945446,0.001311942,0.001418702,0.0009672951,0.00422371],"category_scores_gemma":[0.001490722,0.0004245631,0.0008250362,0.004063921,0.0005673078,0.001909618,0.000641653,0.001091762,0.001949781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000513047,"about_ca_system_score_gemma":0.001033753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169588,"about_ca_topic_score_gemma":0.001805679,"domain_scores_codex":[0.9997134,0.00004437478,0.0000465554,0.00006886954,0.0001054564,0.00002131153],"domain_scores_gemma":[0.9991586,0.0004894848,0.00009280199,0.00002280813,0.0001997146,0.00003653555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005201892,0.00008910577,0.0002837231,0.03300056,0.0001236159,0.0001151584,0.00006925093,0.0004341822,0.0008228258,0.002653433,0.01715378,0.9452023],"study_design_scores_gemma":[0.00001482816,0.0001927213,0.002159082,0.01150159,0.0003658513,0.001336159,0.0001252263,0.0003590405,0.001063334,0.002563966,0.9802635,0.00005466007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001255506,0.9988066,0.0001770316,0.0001064104,0.00008350323,0.000005122383,0.00001501686,0.000006709581,0.0006740387],"genre_scores_gemma":[0.0009086663,0.9983394,0.0002887721,0.00007176771,0.00009856774,0.000005560504,0.00002948761,0.000001769819,0.0002558919],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00422371,"threshold_uncertainty_score":0.0141297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644413169745071,"score_gpt":0.3816443841209082,"score_spread":0.2172030671464011,"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."}}