{"id":"W4383647811","doi":"10.23977/acss.2023.070507","title":"Research Progress in Potato Bud Recognition","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Computer science; Deep learning; Machine learning; Artificial neural network; Agriculture; Pattern recognition (psychology); Biology","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":[0.001029974,0.0008623037,0.001075675,0.001998692,0.0004335815,0.0021098,0.001233935,0.001321334,0.003598783],"category_scores_gemma":[0.002138037,0.0004855995,0.001241942,0.00257385,0.0005802938,0.003267973,0.0007549583,0.001513333,0.00303246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007463266,"about_ca_system_score_gemma":0.001112559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003018307,"about_ca_topic_score_gemma":0.00163827,"domain_scores_codex":[0.9988932,0.00010188,0.00009916811,0.0004752098,0.0003563468,0.00007416272],"domain_scores_gemma":[0.9986693,0.000405543,0.00009188508,0.00007954161,0.0006907219,0.0000629962],"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":[0.0001276978,0.00007600524,0.002951187,0.002940842,0.00008676023,0.0003764128,0.0002518183,0.004898963,0.01929131,0.008085471,0.0158829,0.9450305],"study_design_scores_gemma":[0.00004950299,0.0004944256,0.01305034,0.001653488,0.0004976715,0.004520342,0.0009272915,0.09257144,0.0513233,0.01950121,0.815083,0.000327956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02628575,0.6758384,0.2433455,0.004326846,0.003716345,0.0001476707,0.0005334991,0.00170048,0.04410556],"genre_scores_gemma":[0.1701353,0.6644965,0.1210589,0.00345868,0.004399038,0.0001646729,0.003131354,0.000411872,0.03274364],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003598783,"threshold_uncertainty_score":0.01203912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0651305593930928,"score_gpt":0.3170458760470358,"score_spread":0.251915316653943,"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."}}