{"id":"W7036845678","doi":"","title":"A Comparison of Spatial Clustering Assessment Methods","year":2021,"lang":"en","type":"article","venue":"Scholar Commons (University of South Carolina)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; k-nearest neighbors algorithm; Spatial analysis; Type I and type II errors; Field (mathematics); Spatial ecology; Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003917384,0.00009673829,0.0003616386,0.0000242462,0.0003272956,0.00001524884,0.0003392751,0.00008392886,0.0004301427],"category_scores_gemma":[0.00005085543,0.00006122603,0.0001759447,0.0003108299,0.0001229385,0.0001075632,0.0004359482,0.0002704514,0.000006613925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003164022,"about_ca_system_score_gemma":0.00002199688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006638238,"about_ca_topic_score_gemma":0.003786166,"domain_scores_codex":[0.9989412,0.0003055433,0.000133639,0.0002113342,0.0002492978,0.0001589448],"domain_scores_gemma":[0.9992882,0.0001565358,0.0001734095,0.0001168064,0.0001931585,0.00007186584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005034367,0.0002394928,0.7122352,0.00003001932,0.00009199022,0.00001533761,0.003711981,0.0000537146,0.2027677,0.0001710782,0.0001407065,0.08049241],"study_design_scores_gemma":[0.0003043477,0.000168428,0.9528365,0.00003157715,0.00005907619,0.000003112918,0.03381405,0.0007493893,0.003981894,0.00004947959,0.007864692,0.0001374588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932889,0.0001792257,0.001652851,0.000702121,0.00009891038,0.00008393019,0.00006654066,0.00002680895,0.00390075],"genre_scores_gemma":[0.9744306,0.000008260373,0.02532481,0.00001126852,0.00003392903,1.150198e-7,0.0000217762,7.614581e-7,0.0001684892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2406013,"threshold_uncertainty_score":0.470976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05563241860302535,"score_gpt":0.3151327674026509,"score_spread":0.2595003487996256,"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."}}