{"id":"W4206012969","doi":"10.1002/ecy.3639","title":"Subtle structures with not‐so‐subtle functions: A data set of arthropod constructs and their host plants","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Arthropod; Ecology; Host (biology); Biology; Species richness; Ecosystem; Community structure; Ecosystem engineer; Range (aeronautics); Engineering","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":[0.0006860485,0.0004498621,0.0005024483,0.006014669,0.0005531826,0.0009628802,0.0005610102,0.0006428644,0.001925143],"category_scores_gemma":[0.004204458,0.0002473536,0.0006209399,0.01004153,0.0004876658,0.001108404,0.001374003,0.0004297251,0.001671314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004959828,"about_ca_system_score_gemma":0.000630728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01527061,"about_ca_topic_score_gemma":0.02166779,"domain_scores_codex":[0.9992738,0.00007465736,0.0001488783,0.00017924,0.0002033889,0.0001200827],"domain_scores_gemma":[0.993622,0.001649968,0.002242165,0.0009157576,0.001084253,0.0004858297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003907201,0.00008919664,0.9354329,0.001422354,0.0002785791,0.0008753802,0.0009418102,0.001270147,0.001705203,0.0006374387,0.02112982,0.03582639],"study_design_scores_gemma":[0.00001744621,0.00006155794,0.9535192,0.0002606752,0.0001080606,0.001243856,0.001327024,0.0006212124,0.0006725041,0.0002508645,0.04187986,0.0000376514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6943424,0.005150683,0.00100154,0.0001660032,0.000032293,0.00004568393,0.2941903,0.0001173028,0.004953737],"genre_scores_gemma":[0.678867,0.002081922,0.003306133,0.0000889225,0.00004610194,0.0001788613,0.3141203,0.00006065734,0.001250039],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01527061,"threshold_uncertainty_score":0.0303635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565324049171951,"score_gpt":0.2250308604593602,"score_spread":0.2093776199676407,"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."}}