{"id":"W6960016569","doi":"10.1371/journal.pone.0000207.t001","title":"Total Error, with Type I and Type II Errors in parentheses for manufactured data sets <b>A</b>–<b>C</b>, as a percentage of total home range size, is listed for estimates obtained using the three LoCoH methods (100% isopleths and optimal—that is error minimizing—values <i>k*</i>, <i>r*</i> and <i>a*</i>) and the Gaussian kernel (GK) method (95%, 99% and optimal isopleths).","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resolution (logic); Range (aeronautics); Integer (computer science); Quarter (Canadian coin); Type (biology)","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":[0.05231179,0.003733589,0.004432568,0.004604138,0.002405781,0.004849214,0.005295702,0.002810815,0.1134332],"category_scores_gemma":[0.2524502,0.001308373,0.004385765,0.008152727,0.003908623,0.003756859,0.004091667,0.006734341,0.08827545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790019,"about_ca_system_score_gemma":0.003313731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883263,"about_ca_topic_score_gemma":0.0060502,"domain_scores_codex":[0.9411088,0.01624482,0.01198825,0.01691492,0.01229343,0.001449769],"domain_scores_gemma":[0.8143885,0.1097738,0.009822682,0.04374213,0.02039542,0.001877443],"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":[0.001389898,0.0004266793,0.008908425,0.00321001,0.001135367,0.000394857,0.0005665057,0.008849507,0.004258061,0.02836142,0.693524,0.2489752],"study_design_scores_gemma":[0.0004194276,0.001023429,0.04282257,0.003915478,0.0009930352,0.0011483,0.001987061,0.02868087,0.02279463,0.07866798,0.8169078,0.0006393943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.02884714,0.005655952,0.4852417,0.007087979,0.09546476,0.005774074,0.24225,0.02866874,0.1010097],"genre_scores_gemma":[0.1929728,0.003771935,0.5284016,0.005340772,0.003522305,0.01772373,0.1151165,0.02899048,0.1041599],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1134332,"threshold_uncertainty_score":0.379472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08197030594878943,"score_gpt":0.3340283873391078,"score_spread":0.2520580813903184,"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."}}