{"id":"W4402053547","doi":"10.1079/9781800623279.0047","title":"<b><i>Alliaria petiolata</i></b>(M. Bieberstein) Cavara &amp; Grande, Garlic Mustard / Alliaire officinale (Brassicaceae)","year":2024,"lang":"it","type":"book-chapter","venue":"CABI eBooks","topic":"Plant Ecology and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brassicaceae; Biology; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00005475721,0.0007099393,0.0002076089,0.0007820764,0.0004676549,0.0009388909,0.0002711329,0.0003056987,0.0419785],"category_scores_gemma":[0.00008233149,0.0001615369,0.0001819277,0.0007180123,0.00024465,0.000686506,0.0004071853,0.0006935588,0.02464505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006005301,"about_ca_system_score_gemma":0.000290421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008292343,"about_ca_topic_score_gemma":0.02957334,"domain_scores_codex":[0.9999653,0.000002653582,0.000001531645,0.00001230925,0.00001466636,0.000003546452],"domain_scores_gemma":[0.9999774,0.000005545876,0.000003451153,0.000002140999,0.000006714941,0.000004821889],"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":[0.00005020776,0.00005686068,0.0004726086,0.0006446863,0.000007689293,0.0001827123,0.0006278958,0.0002404853,0.01156916,0.01216019,0.3841959,0.5897918],"study_design_scores_gemma":[0.000001168077,0.00001639995,0.0009897666,0.00005714667,0.000001808262,0.0001546634,0.00004239084,0.00004640416,0.0003709825,0.0003120571,0.9980054,0.000001824688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008317513,0.1036828,0.003076425,0.003971344,0.003438125,0.0001220976,0.000726143,0.0006756891,0.8759898],"genre_scores_gemma":[0.01121513,0.02230993,0.001716991,0.0008345644,0.0003719063,0.00003276087,0.0003951067,0.0001479508,0.9629756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0419785,"threshold_uncertainty_score":0.1404321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907306483269114,"score_gpt":0.2165658283519394,"score_spread":0.1774927635192483,"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."}}