{"id":"W4410507402","doi":"10.1007/978-3-031-90478-3_31","title":"AI Application in Plant Identification and Classification: Innovation and Impact","year":2025,"lang":"en","type":"book-chapter","venue":"Information systems engineering and management","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Identification (biology); Computer science; Biology; Botany","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":[0.0001944027,0.0001483465,0.0001445892,0.0001245713,0.00005244985,0.0001847986,0.00004680847,0.0001252695,0.0000021718],"category_scores_gemma":[0.00000546022,0.00007243936,0.00001410157,0.0001192764,0.000009373072,0.0003181819,0.00004110583,0.00008868764,0.00001151059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004251655,"about_ca_system_score_gemma":0.000002313502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000418803,"about_ca_topic_score_gemma":0.0000109656,"domain_scores_codex":[0.9992558,0.000004347048,0.0003944989,0.0001447573,0.0001173546,0.00008329266],"domain_scores_gemma":[0.9996722,0.00002330892,0.0001530852,0.00004808028,0.00007752981,0.00002574719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001923361,0.00001175021,0.0005596002,0.001431227,0.000100797,0.000001138873,0.0001770407,0.0003317278,0.001370045,0.803661,0.01326449,0.1790719],"study_design_scores_gemma":[0.0001486623,0.00002971791,0.06650666,0.0003704277,0.00002498171,0.000007635338,0.00008845085,0.01181022,0.000004690714,0.0001633516,0.9206041,0.0002410861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1612022,0.0106799,0.01584359,0.01008242,0.004692366,0.02371382,0.002012015,0.002091944,0.7696818],"genre_scores_gemma":[0.950047,0.003099941,0.00007283638,0.0003321615,0.0003428681,0.0004086679,0.003853942,0.000003765513,0.0418388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9073396,"threshold_uncertainty_score":0.2953991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009796362924612735,"score_gpt":0.1929457663382743,"score_spread":0.1831494034136615,"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."}}