{"id":"W6948254500","doi":"10.5061/dryad.z8w9ghx7g","title":"Great smoky mountain ant community composition","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Species richness; Species evenness; Abundance (ecology); Biodiversity; Species diversity; Community structure; Spatial distribution; Relative species abundance; Spatial analysis; Spatial ecology","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":[0.0006459705,0.0007228856,0.0006798529,0.001787611,0.0003808694,0.001049362,0.00109639,0.0006960197,0.01220852],"category_scores_gemma":[0.001775747,0.000413616,0.0006112753,0.002321169,0.0002363032,0.0005193633,0.001135415,0.0004791668,0.008161385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006735079,"about_ca_system_score_gemma":0.0006740035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03902271,"about_ca_topic_score_gemma":0.0767462,"domain_scores_codex":[0.9996337,0.00006780236,0.0000364793,0.0001396044,0.0000629268,0.00005950737],"domain_scores_gemma":[0.9992575,0.0001348259,0.0001657346,0.0001558296,0.0001873704,0.0000987495],"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":[0.0003532096,0.00006751128,0.07153857,0.001915024,0.000365029,0.0002247911,0.0005414521,0.002280663,0.001344752,0.001482205,0.9049323,0.01495447],"study_design_scores_gemma":[0.0004842356,0.00006901228,0.3670211,0.0005930464,0.0001529829,0.0003871322,0.0005779279,0.004200391,0.000948354,0.002173728,0.6233089,0.00008320979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008379707,0.0001196177,0.0001624978,0.00005393692,0.00001266454,0.00001262232,0.9902939,0.0001884556,0.0007767232],"genre_scores_gemma":[0.009421035,0.00005893919,0.0006151567,0.00002456602,0.000007232418,0.00007417129,0.9891718,0.00004352951,0.0005835771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03902271,"threshold_uncertainty_score":0.07759118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06081057095251802,"score_gpt":0.2738945483034572,"score_spread":0.2130839773509392,"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."}}