{"id":"W6960514359","doi":"10.1371/journal.pone.0294829.s001","title":"&lt;i&gt;F&lt;/i&gt;. &lt;i&gt;pennsylvanica&lt;/i&gt; species density (USA) relative to sampled population locations.","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population density; Population; State (computer science); Sample (material); Sampling (signal processing)","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":[0.0003433381,0.0006142457,0.0002969554,0.002556812,0.0006855541,0.0006024709,0.001066286,0.0002587738,0.3175857],"category_scores_gemma":[0.001665367,0.0003347174,0.0002264767,0.004478269,0.00041989,0.0009859172,0.0005787583,0.0006293932,0.07450972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446406,"about_ca_system_score_gemma":0.001356398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2498911,"about_ca_topic_score_gemma":0.4834723,"domain_scores_codex":[0.9998032,0.0000165171,0.00001152538,0.00005079813,0.00007119952,0.00004675483],"domain_scores_gemma":[0.9988332,0.0002278213,0.0001172471,0.00008408948,0.0006070163,0.0001305596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001657982,0.00001239395,0.002555055,0.0001054001,0.000003648066,0.00002289891,0.0001517499,0.00004980001,0.0001454291,0.0008152206,0.9757208,0.02040104],"study_design_scores_gemma":[0.00004840738,0.00001508051,0.1562552,0.0001765236,0.00001109059,0.00006376868,0.001066602,0.0002760492,0.0003608343,0.0005303771,0.841181,0.00001500284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00601614,0.0003614364,0.0007726401,0.0009627908,0.001059061,0.000226409,0.6789435,0.0009927038,0.3106653],"genre_scores_gemma":[0.06644817,0.001685896,0.005029903,0.0006612039,0.0004292296,0.0007958391,0.5019367,0.001572817,0.4214402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3175857,"threshold_uncertainty_score":0.9733812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04887352302770085,"score_gpt":0.2975047590242019,"score_spread":0.248631235996501,"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."}}