{"id":"W4410907220","doi":"10.21428/d82e957c.3d47f637","title":"Weeds and Crops: The Stem Emergence Point Dataset Collection","year":2025,"lang":"en","type":"article","venue":"","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Point (geometry); Geography; Agroforestry; Biology; Mathematics","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":[0.0002701792,0.001863836,0.0007620756,0.001790855,0.0005898839,0.00062551,0.001169329,0.001368437,0.003830647],"category_scores_gemma":[0.0006691499,0.0002190919,0.001007963,0.001515159,0.0002625125,0.0005487771,0.0007323093,0.0008630846,0.004813159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007865903,"about_ca_system_score_gemma":0.000685327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02706451,"about_ca_topic_score_gemma":0.09107777,"domain_scores_codex":[0.9996647,0.0000233165,0.00002421926,0.0001003956,0.0001229057,0.00006458925],"domain_scores_gemma":[0.9997299,0.00003989527,0.00002620136,0.00005231861,0.0001057693,0.00004587138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008531979,0.0008537135,0.02519527,0.002077591,0.0003397997,0.001341644,0.0002230223,0.006635565,0.02427703,0.0008313696,0.8204316,0.1169402],"study_design_scores_gemma":[0.0005672612,0.0006972843,0.2069139,0.0004455258,0.0002328693,0.002615244,0.001256747,0.05186699,0.02497143,0.001962595,0.7082356,0.000234573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09662465,0.002337732,0.00323086,0.0005734099,0.0003825108,0.0002830765,0.8815674,0.006946744,0.008053668],"genre_scores_gemma":[0.03726762,0.000391564,0.006041245,0.0001005252,0.00003527253,0.0001321382,0.9532763,0.0001368488,0.002618504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02706451,"threshold_uncertainty_score":0.05381393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009066473847138982,"score_gpt":0.2632252017623119,"score_spread":0.2541587279151729,"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."}}