{"id":"W2647121553","doi":"10.1111/1365-2745.12787","title":"Kin recognition, multilevel selection and altruism in crop sustainability","year":2017,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kin selection; Altruism (biology); Intraspecific competition; Selection (genetic algorithm); Group selection; Kin recognition; Competition (biology); Agriculture; Biology; Ecology; Computer science; 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":[0.0007107944,0.0001119582,0.0002055371,0.0001847372,0.0003073906,0.0006027122,0.0001955132,0.0003763818,0.002635093],"category_scores_gemma":[0.001555724,0.00006918125,0.0001427314,0.0001568114,0.0007369684,0.0003404217,0.0007011881,0.0003386421,0.0001558793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005572477,"about_ca_system_score_gemma":0.0002446183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114041,"about_ca_topic_score_gemma":0.002242718,"domain_scores_codex":[0.999813,0.00009050578,0.000009381786,0.00003651836,0.00002215238,0.00002840681],"domain_scores_gemma":[0.9983091,0.0007053533,0.0005503102,0.00008163874,0.0001041522,0.000249461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00117645,0.0004856377,0.6941572,0.0009479537,0.0004492515,0.00116367,0.002365684,0.008888732,0.1082856,0.02921399,0.00277777,0.150088],"study_design_scores_gemma":[0.0000215203,0.0002888202,0.9538862,0.00006902133,0.00009860258,0.000420053,0.001224269,0.005521322,0.002794271,0.03292399,0.002715933,0.00003605238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936445,0.001387804,0.001225869,0.000741663,0.00001356961,0.000003705314,0.00002577176,0.000006903799,0.002950187],"genre_scores_gemma":[0.9991314,0.0001434383,0.0002509402,0.00005085689,0.000004972437,0.000002412134,0.000009311768,0.000001220793,0.0004054392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002635093,"threshold_uncertainty_score":0.008815289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06002671141757238,"score_gpt":0.2633153330865738,"score_spread":0.2032886216690014,"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."}}