{"id":"W4403200175","doi":"10.1002/nse2.20157","title":"Agriculture students’ weed collections: Choices of plants and errors in identification","year":2024,"lang":"en","type":"article","venue":"Natural sciences education","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Agriculture; Weed; Identification (biology); Agroforestry; Geography; Agronomy; Biology; Ecology; Archaeology","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":[0.01370739,0.0004567021,0.0003384341,0.001891234,0.001511909,0.002088013,0.0009171557,0.0005557585,0.003307633],"category_scores_gemma":[0.06195021,0.0003782903,0.0003233126,0.002176309,0.0007893363,0.002034186,0.002435654,0.0009447068,0.001310744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009737515,"about_ca_system_score_gemma":0.001014967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026837,"about_ca_topic_score_gemma":0.006998054,"domain_scores_codex":[0.9815732,0.006329901,0.002570986,0.00168957,0.007031198,0.0008051305],"domain_scores_gemma":[0.9149391,0.04623593,0.01938558,0.005256623,0.0121608,0.002022109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005114311,0.0003115616,0.8252287,0.0003282334,0.00006422365,0.0008703193,0.01446038,0.0003369414,0.003048831,0.0003000891,0.004895437,0.1496438],"study_design_scores_gemma":[0.00002309751,0.0004862114,0.9226071,0.0007042855,0.0001036385,0.00270272,0.0379109,0.002718185,0.005930672,0.001116337,0.02558593,0.0001108201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941207,0.0004473442,0.001534079,0.0005095746,0.0000861932,0.00004632415,0.0002112846,0.00006166597,0.002982903],"genre_scores_gemma":[0.995684,0.000411677,0.001830224,0.0002635049,0.00002600014,0.00003497874,0.0002759955,0.00004157005,0.001432008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01370739,"threshold_uncertainty_score":0.07249254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292316476785641,"score_gpt":0.3751318853547959,"score_spread":0.3522087205869395,"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."}}