{"id":"W2113268399","doi":"10.1890/07-0267.1","title":"OFFSPRING SIZE VARIATION WITHIN BROODS AS A BET‐HEDGING STRATEGY IN UNPREDICTABLE ENVIRONMENTS","year":2008,"lang":"en","type":"article","venue":"Ecology","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of New South Wales","keywords":"Offspring; Biology; Fecundity; Brood; Ecology; Maternal effect; Range (aeronautics); Predictability; Demography; Statistics; Mathematics; Population; Genetics","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":[0.0004559896,0.0001908754,0.0001970527,0.0003367375,0.0002424748,0.0005768234,0.0004043841,0.0003402313,0.000603722],"category_scores_gemma":[0.001101738,0.0001862647,0.0003629214,0.000186512,0.000492846,0.0002779478,0.0004410355,0.000290626,0.00006762236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333255,"about_ca_system_score_gemma":0.0001504964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405903,"about_ca_topic_score_gemma":0.00290561,"domain_scores_codex":[0.999879,0.00003651373,0.000006467963,0.00004113344,0.00001752109,0.00001943466],"domain_scores_gemma":[0.9991574,0.0003881444,0.0002736197,0.00008172198,0.0000308642,0.00006827971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004106787,0.0001492519,0.7065682,0.00009583744,0.0003677993,0.0008870978,0.000720555,0.1211329,0.137913,0.006654617,0.0002606156,0.02483931],"study_design_scores_gemma":[0.00001654002,0.0001641408,0.884078,0.000009776778,0.00007076083,0.0003874382,0.0001986862,0.1082669,0.002842939,0.003637625,0.0002983655,0.00002881268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988052,0.0000249482,0.0008677598,0.00001140001,5.144208e-7,0.000001319105,0.00001409249,0.000005900426,0.0002689856],"genre_scores_gemma":[0.9991366,0.00001978154,0.0006871229,0.000005663787,8.626567e-7,0.000003016201,0.00003167203,0.000003838788,0.0001115227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001405903,"threshold_uncertainty_score":0.002795398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711403357356632,"score_gpt":0.2261833999068003,"score_spread":0.209069366333234,"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."}}