{"id":"W2171321440","doi":"10.1111/ele.12071","title":"Game theory and plant ecology","year":2013,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Game theory; Competitor analysis; Competition (biology); Biology; Perspective (graphical); Evolutionary ecology; Evolutionarily stable strategy; Evolutionary game theory; Mutualism (biology); Economics; Microeconomics; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002342189,0.000287187,0.0009526273,0.00001916878,0.0001550062,0.00002911459,0.0002375475,0.0002968845,0.0004386889],"category_scores_gemma":[0.00003797806,0.00009085183,0.0001657917,0.0000783067,0.0001994103,0.00003456333,0.0001796432,0.0002651027,0.0004986758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002917433,"about_ca_system_score_gemma":0.000005913662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000180676,"about_ca_topic_score_gemma":0.0009668308,"domain_scores_codex":[0.9986033,0.0003324972,0.0002478585,0.0003726987,0.00005094094,0.0003926809],"domain_scores_gemma":[0.9982293,0.001515907,0.0001579971,0.00002201524,0.000008082015,0.00006675264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009031057,0.00003782667,0.001619073,0.0005080758,0.0002767911,0.0001049948,0.00002115452,1.250549e-8,0.0001491224,0.000674767,0.02401069,0.9725885],"study_design_scores_gemma":[0.00003523235,0.0001132628,0.01869537,0.000177145,0.0001613966,0.0001178933,0.0000130653,1.257797e-7,3.180482e-7,0.0001158769,0.9803316,0.000238729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03212459,0.9657302,5.566509e-8,0.0009306884,0.0002179835,0.0004071004,0.0001481117,0.00005621079,0.0003850926],"genre_scores_gemma":[0.0003145522,0.997057,0.000006418211,0.001690568,0.0003726978,0.00008992894,0.0001392678,0.000001518578,0.0003279993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9723497,"threshold_uncertainty_score":0.6409634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0542458025288062,"score_gpt":0.2330248725316515,"score_spread":0.1787790700028453,"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."}}