{"id":"W2058420793","doi":"10.1016/s0303-2647(02)00103-x","title":"A search for conceptual congruence between individuals and species","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bishop's University; University of British Columbia","funders":"","keywords":"Categorical variable; Salient; Congruence (geometry); Argument (complex analysis); Epistemology; Ecology; Psychology; Cognitive psychology; Biology; Computer science; Social psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003216615,0.00008712516,0.0001306504,0.0000136165,0.0001280307,0.00005252712,0.00008886006,0.00005592228,0.006765734],"category_scores_gemma":[0.00004617614,0.00007635125,0.00002860393,0.0001050975,0.0002807621,0.00007609355,0.00004677434,0.00003772205,0.0003380159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128099,"about_ca_system_score_gemma":0.000006766938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006331667,"about_ca_topic_score_gemma":0.00002774643,"domain_scores_codex":[0.9991731,0.00004655274,0.0001394346,0.0002080245,0.0001917792,0.0002411109],"domain_scores_gemma":[0.9996535,0.00008024306,0.00003717037,0.000113622,0.0000102672,0.0001052521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002166163,0.00001487259,0.9682021,0.00001745282,0.000009975296,6.651102e-7,0.0005427399,3.310142e-7,0.005990501,0.01591128,0.00915689,0.0001510415],"study_design_scores_gemma":[0.0005159037,0.00008422277,0.3036105,0.00001078877,0.00000992279,0.000006838925,0.00838791,0.000002787696,0.02137504,0.00003016324,0.6657891,0.0001768162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723186,0.0001204649,0.0000907799,0.0001339286,0.0001121978,0.0003548292,0.0003822006,0.00002811126,0.02645886],"genre_scores_gemma":[0.9986291,0.00001780169,0.00004939232,0.00006421542,0.00003745532,0.00002822353,0.00003124314,0.000006329844,0.001136224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6645916,"threshold_uncertainty_score":0.9941422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06993276526000143,"score_gpt":0.2773372148563089,"score_spread":0.2074044495963074,"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."}}