{"id":"W2982425965","doi":"10.1002/ecy.2924","title":"A scale‐dependent framework for trade‐offs, syndromes, and specialization in organismal biology","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":282,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Cornell University; John Templeton Foundation","keywords":"Biology; Trait; Ecology; Adaptation (eye); Biodiversity; Population; Niche; Evolutionary ecology; Local adaptation; Evolutionary biology; Selection (genetic algorithm); Phenotypic plasticity; Natural selection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003916352,0.00104334,0.001075149,0.003434534,0.001405355,0.004169603,0.002068272,0.001648813,0.005718512],"category_scores_gemma":[0.006545548,0.0003700146,0.001746044,0.001684756,0.01229246,0.006125808,0.003026138,0.002012059,0.000447949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002796743,"about_ca_system_score_gemma":0.0008178272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003537787,"about_ca_topic_score_gemma":0.002015454,"domain_scores_codex":[0.9983568,0.0006972192,0.0001176378,0.0004843728,0.0002174255,0.0001266444],"domain_scores_gemma":[0.9957494,0.002365377,0.0007752422,0.0004952978,0.0003142527,0.0003005225],"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":[0.000009099729,0.00001047041,0.00156765,0.00004504669,0.0000255796,0.0001243423,0.0002195182,0.004530213,0.0004336937,0.9838805,0.0004851384,0.008668871],"study_design_scores_gemma":[0.00000730473,0.00001704492,0.001992119,0.00001560066,0.00001163969,0.0001312665,0.00005364837,0.01506705,0.00003128425,0.9804898,0.002165184,0.00001798137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.127551,0.01541552,0.7586761,0.01347743,0.0003415757,0.0002417701,0.000618434,0.0006812487,0.08299697],"genre_scores_gemma":[0.8686725,0.004047362,0.1182376,0.001381724,0.0005142043,0.0004653261,0.0002671971,0.0001025561,0.006311468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005718512,"threshold_uncertainty_score":0.0207119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007878174407056937,"score_gpt":0.2406390143828235,"score_spread":0.2327608399757666,"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."}}