{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005057532,0.001474067,0.001674308,0.0001334728,0.001296789,0.0003161503,0.0009882399,0.001579437,0.003270988],"category_scores_gemma":[0.00006508793,0.0007517939,0.001050219,0.0001120724,0.001189728,0.0001187841,0.0007008906,0.001775773,0.007302057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045352,"about_ca_system_score_gemma":0.00011205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002545782,"about_ca_topic_score_gemma":0.007627836,"domain_scores_codex":[0.9949178,0.0001202679,0.001130191,0.001950702,0.0005575793,0.001323535],"domain_scores_gemma":[0.997542,0.0007291542,0.0005422541,0.0004514669,0.0002407849,0.0004943693],"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":[0.001887217,0.0006233386,0.005567824,0.002108318,0.008984014,0.004526394,0.002819008,0.00004021755,0.02289346,0.6855831,0.07753176,0.1874353],"study_design_scores_gemma":[0.0004216909,0.0004652875,0.001914178,0.0006866242,0.0009440101,0.0001533025,0.0002208319,0.00001317781,0.0001298741,0.006295322,0.9872583,0.00149739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04917949,0.004365101,0.000009039827,0.003470751,0.003299537,0.001610304,0.00148224,0.0005299222,0.9360536],"genre_scores_gemma":[0.1538565,0.001049803,0.00006278494,0.0006948382,0.00173203,0.00009937329,0.0004993659,0.00002593585,0.8419793],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9097266,"threshold_uncertainty_score":0.9998009,"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."}}