{"id":"W4411751858","doi":"10.7818/ecos.2954ms1","title":"APPENDIX1: Alberta Avifaunal Data (long form dataset)","year":2025,"lang":"en","type":"article","venue":"Ecosistemas","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00112568,0.001080518,0.001024909,0.004658961,0.00122455,0.002263738,0.002389488,0.0009931428,0.3024718],"category_scores_gemma":[0.008025607,0.0006619573,0.0005801414,0.01417259,0.0003178462,0.001115278,0.001280952,0.001073413,0.1022147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006713418,"about_ca_system_score_gemma":0.01143843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7831472,"about_ca_topic_score_gemma":0.8313875,"domain_scores_codex":[0.9990981,0.00007304775,0.000076908,0.0001883731,0.0003422405,0.0002212469],"domain_scores_gemma":[0.9922554,0.001385936,0.0004701755,0.0007394564,0.00458553,0.000563519],"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":[0.00001685349,0.000005830863,0.001102191,0.000101763,0.000008489465,0.00000686944,0.00001133753,0.0001968858,0.00001352965,0.0003390413,0.9964917,0.001705585],"study_design_scores_gemma":[0.0001471419,0.000008988545,0.01879068,0.0002773954,0.00002593137,0.00002964646,0.0001909992,0.0006032696,0.0001387619,0.001478868,0.9782687,0.00003962004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008414022,0.0000211202,0.00003620342,0.00004510222,0.00001286764,0.000008219256,0.998569,0.00006092178,0.001162415],"genre_scores_gemma":[0.001278513,0.00006325485,0.0003191414,0.00005779051,0.00001122836,0.00009228575,0.9937199,0.00008205372,0.004375803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3024718,"threshold_uncertainty_score":0.9949394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817178553744495,"score_gpt":0.2910031467021205,"score_spread":0.2528313611646755,"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."}}