{"id":"W4312177580","doi":"10.18280/ria.360517","title":"Grape Leaves Segmentation Using an Improved Graph-Based Approach","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Graph; Artificial intelligence; Computer science; Pattern recognition (psychology); Theoretical computer science","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":[0.0002266264,0.0008832971,0.0008964698,0.003570825,0.0004294426,0.001226472,0.001209385,0.001076006,0.002225936],"category_scores_gemma":[0.0005601816,0.0005344911,0.001339535,0.001847437,0.0003052307,0.0009176024,0.0006295186,0.0005796811,0.001115771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006954193,"about_ca_system_score_gemma":0.0008047095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262692,"about_ca_topic_score_gemma":0.01807619,"domain_scores_codex":[0.999625,0.00003777655,0.0000188264,0.0001518573,0.0001221947,0.00004442963],"domain_scores_gemma":[0.9997734,0.0000546773,0.00002624519,0.00002896284,0.00009933562,0.0000174426],"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":[0.000383694,0.0001979787,0.002239098,0.0004119181,0.0002161053,0.0005530943,0.0002805332,0.1752111,0.1401823,0.004635089,0.006064302,0.6696248],"study_design_scores_gemma":[0.0000160842,0.00006173554,0.001869676,0.00001396358,0.00004308475,0.000231442,0.00006752452,0.9786217,0.01319782,0.002173234,0.003678299,0.00002541508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03507547,0.0006038919,0.9573978,0.000215359,0.00005768119,0.0001559889,0.0004309787,0.00327159,0.002791376],"genre_scores_gemma":[0.2058244,0.0006126967,0.7859711,0.0001941286,0.00006103165,0.0001114786,0.001780645,0.0004529183,0.004991599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01262692,"threshold_uncertainty_score":0.02510685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06476616816127528,"score_gpt":0.3078088783803595,"score_spread":0.2430427102190842,"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."}}