{"id":"W7133349298","doi":"10.65521/mjret.v9i3.1216","title":"Wheat Kernel Classification Using Machine Learning","year":2022,"lang":"","type":"article","venue":"Multidisciplinary Journal of Research in Engineering and Technology","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Linear classifier; Structured support vector machine; Boosting (machine learning); Classifier (UML); Binary classification; Decision tree; One-class classification; Supervised learning; Gradient boosting","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":[0.0006797836,0.0007838637,0.0009114589,0.003037142,0.0003778781,0.001780809,0.0008803785,0.0008558171,0.002060296],"category_scores_gemma":[0.002164607,0.000223069,0.001282156,0.003082971,0.0003045738,0.001519803,0.0008036818,0.0008050469,0.001873923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005755841,"about_ca_system_score_gemma":0.0003995194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262763,"about_ca_topic_score_gemma":0.001682713,"domain_scores_codex":[0.9991418,0.000115244,0.00008477575,0.0002681134,0.0002932087,0.00009677715],"domain_scores_gemma":[0.9992617,0.0001755114,0.00009201696,0.0001501853,0.0002920578,0.00002857182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002432941,0.0002501458,0.01083408,0.0003558097,0.0002068261,0.0002453945,0.0001457717,0.06953223,0.02065717,0.005777576,0.01035158,0.8814],"study_design_scores_gemma":[0.00001653149,0.0001021757,0.01050579,0.00004514832,0.00006344351,0.0002023761,0.0001740943,0.9492643,0.01906264,0.008815289,0.01169767,0.00005048692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07575807,0.0009838371,0.9115347,0.0002197132,0.0001964216,0.0001488971,0.0009335894,0.004379547,0.00584514],"genre_scores_gemma":[0.6788152,0.0008247607,0.3085175,0.0001004543,0.0001013296,0.0001584241,0.004447505,0.0002788834,0.006756014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003037142,"threshold_uncertainty_score":0.006892383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06326751532442722,"score_gpt":0.318435844727934,"score_spread":0.2551683294035068,"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."}}