{"id":"W2154118765","doi":"10.1111/1365-2435.12287","title":"Food‐limited mothers favour offspring quality over offspring number: a principal components approach","year":2014,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Killam Trusts; Dalhousie University","keywords":"Offspring; Biology; Fecundity; Univariate; Multivariate statistics; Maternal effect; Multivariate analysis; Parental investment; Demography; Pregnancy; Statistics; Population; Genetics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004450819,0.00015625,0.0002200833,0.00001540528,0.0002962325,0.00002558226,0.000141427,0.000169298,0.000962786],"category_scores_gemma":[0.00008028938,0.00007250879,0.0001280158,0.0001669052,0.00008589287,0.00009927829,0.00009528111,0.0002008371,0.0001542468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006942354,"about_ca_system_score_gemma":0.000007702368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002383207,"about_ca_topic_score_gemma":0.0002096581,"domain_scores_codex":[0.9985017,0.0001774134,0.0002782525,0.0004987055,0.0002293839,0.0003145002],"domain_scores_gemma":[0.9994869,0.0001383543,0.0001281293,0.00008053627,0.00007008219,0.00009597978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002014042,0.0003567052,0.8152656,0.00001066358,0.00004102553,5.205538e-7,0.00003647972,0.0002042632,0.174061,0.004491929,0.0002148051,0.005115661],"study_design_scores_gemma":[0.0002474301,0.0002504498,0.9868395,0.000002501748,0.00001437334,0.00001782084,0.00009067454,0.00037128,0.0003082694,0.0002314808,0.01145424,0.0001719303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955847,0.000006494413,0.000119215,0.0003459536,0.0006079999,0.0001684109,0.00001068865,0.0001206785,0.003035862],"genre_scores_gemma":[0.9981788,0.000002350754,0.0001940905,0.0002324294,0.0007082205,0.00003170811,0.0001007316,0.000002185779,0.0005494609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1737527,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05588108858826487,"score_gpt":0.2512207957132145,"score_spread":0.1953397071249497,"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."}}