{"id":"W4232124707","doi":"10.1890/09-0204","title":"CONSUMER-BASED LIMITATIONS DRIVE OAK RECRUITMENT FAILURE","year":2009,"lang":"en","type":"article","venue":"Ecology","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Ecology; Geography; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008936563,0.0001182575,0.0001931879,0.0001635868,0.0003236978,0.0004778359,0.0001785326,0.0002912515,0.001833741],"category_scores_gemma":[0.002084028,0.0001173898,0.0001012442,0.00008374028,0.0005194829,0.0002519243,0.0003722397,0.0003176917,0.0001241154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384064,"about_ca_system_score_gemma":0.0002878025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707061,"about_ca_topic_score_gemma":0.009274702,"domain_scores_codex":[0.999813,0.00007468596,0.00001476035,0.00002605937,0.00003242458,0.00003901164],"domain_scores_gemma":[0.9977378,0.0006076353,0.001034912,0.0001221097,0.00009354624,0.0004039924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000447733,0.0005372996,0.9697638,0.00002987753,0.0000230388,0.0003960053,0.000390594,0.0009615485,0.01609614,0.001110498,0.0003077755,0.009935712],"study_design_scores_gemma":[0.00002157642,0.0002822559,0.9950718,0.000005839109,0.000009290983,0.0002271548,0.0003683119,0.002114384,0.0005295352,0.0010646,0.0002993409,0.000005919246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993544,0.00001859488,0.0000455257,0.00002008605,5.812655e-7,0.000001994001,0.000006189956,9.821047e-7,0.0005515328],"genre_scores_gemma":[0.999761,0.00001843086,0.00004848328,0.00001259922,0.000001265995,0.000001826567,0.0000113126,4.066645e-7,0.0001446163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002707061,"threshold_uncertainty_score":0.00613445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08287168522478132,"score_gpt":0.2509020349081985,"score_spread":0.1680303496834171,"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."}}