{"id":"W1976629302","doi":"10.1016/j.tpb.2013.12.002","title":"Species abundance distributions, statistical mechanics and the priors of MaxEnt","year":2013,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Prior probability; Principle of maximum entropy; Mathematics; Statistical physics; Entropy (arrow of time); Statistical mechanics; Statistics; Computer science; Econometrics; Physics; Bayesian probability","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.008175098,0.0007030425,0.00114409,0.002029738,0.001008547,0.002883785,0.002592466,0.001395016,0.005350024],"category_scores_gemma":[0.0296422,0.0009882239,0.001025632,0.001400525,0.004104223,0.005690271,0.002466516,0.002605966,0.0006094528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401847,"about_ca_system_score_gemma":0.0007056426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027894,"about_ca_topic_score_gemma":0.002166739,"domain_scores_codex":[0.9986921,0.0007342224,0.00004990924,0.0002560135,0.0001662371,0.0001015825],"domain_scores_gemma":[0.9874203,0.009876725,0.000670565,0.001132049,0.0005297006,0.000370747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009138797,0.00003098852,0.00215778,0.00006529933,0.00005212943,0.00007522892,0.0001766069,0.149054,0.0005245305,0.8278577,0.002500285,0.01741408],"study_design_scores_gemma":[0.00001107545,0.00001339215,0.0007896505,0.00002863403,0.000009327928,0.00006209868,0.00002784058,0.3051929,0.0002858234,0.6922597,0.001298291,0.00002132382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.068984,0.0008523343,0.9195456,0.002072757,0.00008538618,0.00003581989,0.0003423923,0.0003123812,0.007769409],"genre_scores_gemma":[0.8595716,0.001447025,0.1257964,0.0008596777,0.0003993186,0.0002824831,0.0008351988,0.0004262257,0.01038198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008175098,"threshold_uncertainty_score":0.04323459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0030187968684622,"score_gpt":0.2089076411084613,"score_spread":0.2058888442399991,"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."}}