{"id":"W3110537443","doi":"10.18280/ria.340512","title":"Fresh and Rotten Fruits Classification Using CNN and Transfer Learning","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softmax function; Convolutional neural network; Artificial intelligence; Transfer of learning; Computer science; Pattern recognition (psychology); Machine learning; Task (project management); Deep learning; Engineering","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":[0.000322982,0.0008039806,0.0004241087,0.0009339249,0.0001636798,0.0005168725,0.0007802976,0.0006139858,0.001045057],"category_scores_gemma":[0.0005370245,0.0002017669,0.0006590648,0.0005213683,0.0002219023,0.0009387751,0.0004050462,0.0004857134,0.0003753069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008186478,"about_ca_system_score_gemma":0.0003628949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009980073,"about_ca_topic_score_gemma":0.009188153,"domain_scores_codex":[0.9998125,0.00001591964,0.000008850452,0.0000638,0.00005011245,0.00004893848],"domain_scores_gemma":[0.9998172,0.00003707563,0.0000236395,0.0000270632,0.00007672459,0.00001828943],"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":[0.000620895,0.0006378511,0.0244484,0.0002168109,0.0002960482,0.000637813,0.00008206401,0.1494129,0.05913558,0.001268602,0.006712446,0.7565306],"study_design_scores_gemma":[0.000007466663,0.0001099616,0.007995422,0.00001173094,0.00003605411,0.0000861992,0.00002680211,0.9769487,0.01337516,0.0005402804,0.000848752,0.00001355277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7710047,0.002456702,0.2122742,0.0005034193,0.000288746,0.0002011509,0.0009715952,0.003169606,0.00912986],"genre_scores_gemma":[0.963847,0.0005645238,0.02918177,0.0001253772,0.00005083089,0.00004624155,0.001317214,0.00003154747,0.004835668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009980073,"threshold_uncertainty_score":0.019844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08475319310638003,"score_gpt":0.2458178829366355,"score_spread":0.1610646898302555,"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."}}