{"id":"W3203865008","doi":"10.18280/ts.380435","title":"Image Recognition of Modern Agricultural Fruit Maturity Based on Internet of Things","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Maturity (psychological); Internet of Things; Pyramid (geometry); Computer science; Context (archaeology); Artificial intelligence; Computer vision; Judgement; Image (mathematics); The Internet; Agriculture; Pattern recognition (psychology); Mathematics; Computer security; World Wide Web; Geography","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":[0.0001501492,0.0002565821,0.000228907,0.001089565,0.0001286354,0.0003133077,0.0002574224,0.0004469557,0.0006604689],"category_scores_gemma":[0.0002827931,0.0001084094,0.0003286181,0.000651738,0.0001516553,0.0006919368,0.0002524444,0.0002276147,0.0002764761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132942,"about_ca_system_score_gemma":0.000109294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006498056,"about_ca_topic_score_gemma":0.001013916,"domain_scores_codex":[0.9998887,0.000009159122,0.000006353735,0.00002383322,0.00005602253,0.00001595511],"domain_scores_gemma":[0.9999088,0.00001482844,0.00001357804,0.000009239546,0.0000447739,0.000008725995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000327771,0.00009750859,0.01022792,0.0003062612,0.00005765321,0.0007929537,0.0002322786,0.007923368,0.5333984,0.001719436,0.00184776,0.4430686],"study_design_scores_gemma":[0.00004137293,0.0007936833,0.1609092,0.00008945942,0.000182159,0.004447163,0.0008763215,0.4212872,0.3944116,0.004431691,0.01236765,0.0001624928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5162745,0.0008835696,0.4712487,0.0002522922,0.0001631531,0.0001401576,0.0004461415,0.001270595,0.009320916],"genre_scores_gemma":[0.8712388,0.0007381956,0.1245642,0.00009771388,0.0000473449,0.00005312312,0.0004201073,0.00003833123,0.002802151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001089565,"threshold_uncertainty_score":0.002209544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989931168559374,"score_gpt":0.2029466607325227,"score_spread":0.183047349046929,"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."}}