{"id":"W4411202435","doi":"10.1063/5.0280801","title":"Tomato ripeness detection method based on FasterNet block and attention mechanism","year":2025,"lang":"en","type":"article","venue":"AIP Advances","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thales (Canada)","funders":"","keywords":"Ripeness; Mechanism (biology); Block (permutation group theory); Chemistry; Computer science; Biochemical engineering; Mathematics; Food science; Engineering; Ripening; Philosophy; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008445285,0.0001248903,0.0001637903,0.0001396201,0.00009732537,0.0000355042,0.00008746048,0.00007489965,0.00011539],"category_scores_gemma":[0.0000409204,0.0001153019,0.0000485897,0.0003400487,0.00002005025,0.0001025543,0.00002278613,0.00009391139,0.000007130939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004466422,"about_ca_system_score_gemma":0.00001236077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000239587,"about_ca_topic_score_gemma":0.00002699624,"domain_scores_codex":[0.9992948,0.00001880399,0.0001372329,0.0002852118,0.0001234596,0.0001405534],"domain_scores_gemma":[0.9995613,0.0001401648,0.00006840379,0.0001681574,0.00002985447,0.00003209156],"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":[0.000272252,0.0002954264,0.01023099,0.0007025497,0.0002089615,0.00001528722,0.00004793964,0.001015388,0.8684404,0.003452186,0.00009862197,0.11522],"study_design_scores_gemma":[0.0004393913,0.00003870559,0.0004396131,0.00005115949,0.000115039,0.000004867703,0.0002057042,0.01513967,0.9782051,0.003087982,0.002133837,0.0001389659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7381459,0.001694238,0.2404968,0.0002939075,0.0002280314,0.00009140009,0.0000103752,0.0002205333,0.01881879],"genre_scores_gemma":[0.9952475,0.00006675399,0.002406533,0.0002110373,0.00003199922,0.00002418711,0.000004392923,0.000007978022,0.001999625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2571016,"threshold_uncertainty_score":0.4701876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006929780301879661,"score_gpt":0.2962187888625908,"score_spread":0.2892890085607112,"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."}}