{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001541384,0.0008210091,0.0006554508,0.002154585,0.0003593553,0.003422904,0.001578684,0.001348103,0.01360358],"category_scores_gemma":[0.002030524,0.0003624715,0.0005485903,0.003098589,0.00175807,0.003605954,0.0008482052,0.001995288,0.007178758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008954561,"about_ca_system_score_gemma":0.0006089996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802717,"about_ca_topic_score_gemma":0.002168601,"domain_scores_codex":[0.9993789,0.0001388563,0.00002582327,0.0001152911,0.0003182717,0.00002273528],"domain_scores_gemma":[0.9972782,0.002059613,0.00003540474,0.0001762004,0.0004010955,0.00004946663],"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":[0.00004006885,0.00009498213,0.0005059061,0.001144325,0.00005655642,0.00009570379,0.0003001177,0.004902236,0.004829007,0.1165576,0.03364186,0.8378316],"study_design_scores_gemma":[0.00001522554,0.0001382404,0.001862473,0.0007708054,0.00006245111,0.0007497115,0.0003637875,0.04863799,0.01030838,0.1830467,0.7539799,0.00006437235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009247277,0.244929,0.3508241,0.006312987,0.004016016,0.00009914239,0.0003761898,0.001246621,0.3829487],"genre_scores_gemma":[0.09059931,0.1960796,0.3238642,0.003435993,0.00436109,0.0001503943,0.0008474056,0.0007055422,0.3799566],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01360358,"threshold_uncertainty_score":0.04550844,"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."}}