{"id":"W1978600355","doi":"10.1111/j.1461-0248.2007.01096.x","title":"The maximum entropy formalism and the idiosyncratic theory of biodiversity","year":2007,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Principle of maximum entropy; Formalism (music); Statistical physics; Obstacle; Entropy (arrow of time); Biodiversity; Neutral theory of molecular evolution; Relative abundance distribution; Ecology; Computer science; Relative species abundance; Physics; Artificial intelligence; Abundance (ecology); Population; Biology; Geography; Sociology","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":[0.0008138401,0.00004956764,0.00006584176,0.000007394944,0.0002870102,0.000009181914,0.0001560399,0.00002823301,0.004166843],"category_scores_gemma":[0.00003978507,0.00002686843,0.0000349699,0.00005499168,0.001327204,0.00003990328,0.0001313189,0.00006289116,0.000204862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008723421,"about_ca_system_score_gemma":0.00000120693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003844742,"about_ca_topic_score_gemma":0.0003581456,"domain_scores_codex":[0.9994888,0.00007453083,0.00009420082,0.00007837772,0.00007965799,0.0001844251],"domain_scores_gemma":[0.9994817,0.0003181558,0.00005822014,0.0001134866,0.000002572784,0.00002583038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009947196,0.0001022705,0.7589796,0.00001203785,0.000144581,0.00003740722,0.003461388,0.000007530108,0.02075063,0.08727574,0.1231329,0.005101184],"study_design_scores_gemma":[0.0007917976,0.00002466076,0.9808773,5.318835e-7,0.00002333009,0.00000998138,0.002302362,0.000006581252,0.0009514563,0.001224867,0.01373316,0.00005401345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810164,0.00002513534,0.0001207172,0.01503772,0.000147673,0.0001128483,0.000006969143,0.000007693759,0.003524869],"genre_scores_gemma":[0.9942962,0.00005073069,0.000008343049,0.005581616,0.000008341579,0.000001999987,0.000002849444,0.000001206472,0.0000486982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2218977,"threshold_uncertainty_score":0.9967435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007717333552422036,"score_gpt":0.1911934095790157,"score_spread":0.1834760760265937,"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."}}