{"id":"W2907957599","doi":"10.1556/168.2018.19.3.9","title":"Neighbourhood crowding severely limits seed offspring recruitment in a temperate mesic old-field meadow","year":2018,"lang":"en","type":"article","venue":"Community Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biology; Animal ecology; Ecology; Temperate climate; Crowding; Old field; Herbivore; Habitat; Natural selection; Competition (biology); Neighbourhood (mathematics); Demography; Population","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":[0.0008612883,0.0001558479,0.0002511779,0.00008037832,0.0008412508,0.00001690244,0.0004177621,0.0001779724,0.001241921],"category_scores_gemma":[0.0003436952,0.0001615626,0.00004017757,0.0002465636,0.0003301189,0.0001513476,0.0005918294,0.0006147845,0.0006351261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958066,"about_ca_system_score_gemma":0.00001924812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009968207,"about_ca_topic_score_gemma":0.1012234,"domain_scores_codex":[0.9983582,0.000676854,0.0002786639,0.0002020683,0.00007788323,0.0004062589],"domain_scores_gemma":[0.99878,0.0006592309,0.0000995608,0.0003786488,0.0000210807,0.00006146837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004203136,0.0002233372,0.99199,0.000007772869,0.0000307288,0.000006289893,0.004097191,0.0002612748,0.001463693,0.0006793015,0.0002170286,0.0009814086],"study_design_scores_gemma":[0.0005633822,0.00043109,0.9925146,0.0000138636,0.00001228731,0.000008881381,0.0006838716,0.001994139,0.000952377,0.002354668,0.0003023169,0.0001685993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658988,0.00001669088,0.0000845167,0.001228542,0.0003095509,0.000324009,0.000001194067,0.00004887369,0.03208785],"genre_scores_gemma":[0.9962723,0.00004160308,0.0006635293,0.002220433,0.00002537036,0.0000942048,0.000003764692,0.00001172022,0.0006671044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1002265,"threshold_uncertainty_score":0.9996711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05239217210648799,"score_gpt":0.2930143872792644,"score_spread":0.2406222151727764,"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."}}