{"id":"W4376506982","doi":"10.56588/iabcd.v2i1.153","title":"ANGIOSPERMIC MEDICINAL PLANTS DIVERSITY OF GRAMBHARTI (AMARAPUR) VILLAGE, MANSA TALUKA, GANDHINAGAR DISTRICT, GUJARAT, INDIA","year":2023,"lang":"en","type":"article","venue":"International Association of Biologicals and Computational Digest","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Herbarium; Medicinal plants; Plant diversity; Diversity (politics); Field survey; Geography; Ethnobotany; Plant species; Agroforestry; Biology; Traditional medicine; Botany; Medicine; Sociology; Cartography","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":[0.0001058076,0.000182751,0.0001344527,0.001289362,0.0008319371,0.0003542847,0.0002051162,0.0001386787,0.001284097],"category_scores_gemma":[0.0001358617,0.000116916,0.0001134248,0.001086677,0.0003480417,0.0001707223,0.0002632722,0.0001682409,0.000177616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002927877,"about_ca_system_score_gemma":0.0003294151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007238049,"about_ca_topic_score_gemma":0.03842314,"domain_scores_codex":[0.9998934,0.00002524002,0.000008690782,0.00002312014,0.00002089462,0.00002867798],"domain_scores_gemma":[0.999855,0.0000380078,0.00004062209,0.000008482886,0.00001863932,0.00003915369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001541795,0.0002981582,0.8647277,0.0004414725,0.00006438145,0.00519342,0.02413553,0.0001765609,0.03447398,0.0004374662,0.001464903,0.06843214],"study_design_scores_gemma":[0.000002840018,0.0001094113,0.9927582,0.000010976,0.000009136947,0.001680392,0.00350547,0.00004403346,0.0002634366,0.00003254149,0.001577422,0.000006140415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985483,0.0002112278,0.00004629089,0.00004028874,0.000002040699,0.00001673398,0.0001843921,0.000005320145,0.0009453491],"genre_scores_gemma":[0.9983606,0.0002899011,0.0002450257,0.00003285008,0.00000560679,0.00001135304,0.0002884064,0.000001186117,0.0007651338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007238049,"threshold_uncertainty_score":0.01439184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009528368497536,"score_gpt":0.2431437788900865,"score_spread":0.2230484952051111,"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."}}