{"id":"W6922962376","doi":"10.1371/journal.pone.0081029.g004","title":"Nearest-neighbor, G(<i>r</i>), (left column), and Ripley’s <i>K</i>-estimate (right column) of all Canada goose nests at Broad River, 2005 – 2006.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Arts, Culture, and Music Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Spatial distribution; Line (geometry); Envelope (radar)","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":[0.0004196071,0.0002905354,0.000316344,0.002175586,0.000851665,0.0008112399,0.001201427,0.0002467842,0.03911982],"category_scores_gemma":[0.004015025,0.0001844323,0.0004439563,0.003016578,0.0005058501,0.0006503601,0.0007219511,0.0008173196,0.00723209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002341719,"about_ca_system_score_gemma":0.003523218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7947171,"about_ca_topic_score_gemma":0.9085377,"domain_scores_codex":[0.9996397,0.0000261594,0.00001758012,0.0001289964,0.0001079204,0.00007947446],"domain_scores_gemma":[0.998848,0.0002449013,0.0001467093,0.0001516226,0.0004696228,0.0001392273],"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":[0.0002902479,0.00007382615,0.4321595,0.0006055012,0.0005051274,0.0002952149,0.0009353746,0.007703517,0.0008023829,0.009499303,0.4724545,0.07467549],"study_design_scores_gemma":[0.00007086899,0.00002323621,0.8460662,0.0001817621,0.000174404,0.0003230778,0.002529273,0.007382063,0.0005749678,0.002154007,0.140471,0.0000492233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3128832,0.001772245,0.006003543,0.000837705,0.0002440006,0.0001339148,0.6159785,0.001208131,0.06093867],"genre_scores_gemma":[0.6345112,0.0007607444,0.006331215,0.0001583499,0.00003636734,0.0000706583,0.2988547,0.0006375762,0.05863908],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2052829,"threshold_uncertainty_score":0.4129836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249752237674662,"score_gpt":0.2627126678957346,"score_spread":0.240215145518988,"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."}}