{"id":"W2797051230","doi":"10.1098/rsif.2017.0685","title":"A variational approach to niche construction","year":2018,"lang":"en","type":"review","venue":"Journal of The Royal Society Interface","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Wellcome Trust; Wellcome","keywords":"Niche construction; Niche; Natural selection; Inference; Perspective (graphical); Selection (genetic algorithm); Process (computing); Ecological niche; Computer science; Ecology; Evolutionary biology; Biology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236797,0.0007077183,0.0008898935,0.001436935,0.0005944782,0.001623419,0.001532555,0.002069836,0.004661796],"category_scores_gemma":[0.001564174,0.0002892075,0.0009955728,0.001530029,0.003556439,0.002571694,0.001729225,0.002523758,0.0008382741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960854,"about_ca_system_score_gemma":0.002005622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971931,"about_ca_topic_score_gemma":0.002421916,"domain_scores_codex":[0.9995281,0.0001843694,0.00002597715,0.00008604085,0.0001408843,0.00003474973],"domain_scores_gemma":[0.9994953,0.0003384497,0.00003373722,0.00002603957,0.00007538227,0.00003111774],"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":[0.000008980265,0.00001316851,0.0001621567,0.001339416,0.00005565797,0.00009646237,0.0002140922,0.004271963,0.0005695578,0.89757,0.006916542,0.08878202],"study_design_scores_gemma":[0.000007956216,0.00002403062,0.0005215829,0.0009884265,0.00003574165,0.0005722778,0.0001413054,0.005817723,0.000332823,0.6485212,0.3429993,0.00003755024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002214116,0.7662036,0.1617849,0.01096871,0.001319041,0.00004219486,0.00019222,0.00008957757,0.05718573],"genre_scores_gemma":[0.1556471,0.7501836,0.06400315,0.003131719,0.003231356,0.0002151954,0.0003049832,0.000137455,0.02314553],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004661796,"threshold_uncertainty_score":0.01559526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07990943759325449,"score_gpt":0.2846778323653451,"score_spread":0.2047683947720906,"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."}}