{"id":"W4394145441","doi":"10.6084/m9.figshare.1218437","title":"Glaucous-winged gull (Larus glaucescens) colony count data, Georgia Basin, BC, Canada, 1900-2010","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Structural basin; Fishery; Zoology; Biology; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003384339,0.001050774,0.0006369732,0.004056557,0.001310382,0.0009575726,0.001822717,0.0003150336,0.02265166],"category_scores_gemma":[0.001790868,0.0006650289,0.0004099829,0.009157297,0.0002662303,0.0004613989,0.0007037578,0.0007475113,0.01069976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01104812,"about_ca_system_score_gemma":0.01880276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9762968,"about_ca_topic_score_gemma":0.9912575,"domain_scores_codex":[0.999509,0.0000151196,0.00004219146,0.00009805543,0.0002050753,0.0001306109],"domain_scores_gemma":[0.9969934,0.00008826605,0.0003165572,0.0001622743,0.002077788,0.000361731],"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":[0.00006656517,0.00002434777,0.03251724,0.0004692679,0.00006695028,0.00004332031,0.0001320649,0.0003102302,0.0001489333,0.0004531553,0.9593397,0.006428183],"study_design_scores_gemma":[0.0001210461,0.00001760607,0.4118397,0.000351234,0.00007224568,0.00008072112,0.0004533365,0.0004236064,0.0004974818,0.0002090608,0.5858893,0.00004454048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001470594,0.0000681403,0.00003609337,0.00002254875,0.00000833654,0.00001602704,0.9967971,0.00005006845,0.001531091],"genre_scores_gemma":[0.006621058,0.0001856734,0.0003680694,0.00003974016,0.000005152639,0.0001055847,0.9881074,0.0000350981,0.004532132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02370316,"threshold_uncertainty_score":0.08016014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550235643962551,"score_gpt":0.2182675736588852,"score_spread":0.2027652172192597,"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."}}