{"id":"W2758157736","doi":"10.1111/maec.12448","title":"Effects of habitat complexity on cannibalism rates in European green crabs (<i>Carcinus maenas</i> Linnaeus, 1758)","year":2017,"lang":"en","type":"article","venue":"Marine Ecology","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Carcinus maenas; Predation; Biology; Cannibalism; Oyster; Ecology; Habitat; Foraging; Predator; Fishery; Juvenile; Decapoda; Crustacean","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004976574,0.0001854955,0.0003765125,0.00006308155,0.0002589356,0.00001139706,0.0006423179,0.0001526394,0.001815908],"category_scores_gemma":[0.0002423757,0.0001710934,0.00005952462,0.000057611,0.001031378,0.00007832073,0.001229394,0.0002873465,0.000892858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238197,"about_ca_system_score_gemma":0.00001215304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003065019,"about_ca_topic_score_gemma":0.06717904,"domain_scores_codex":[0.9984059,0.0003602573,0.0002896263,0.0004133451,0.00007290803,0.0004579108],"domain_scores_gemma":[0.9989514,0.0002426707,0.0002227499,0.0004888718,0.000008924663,0.00008537938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194413,0.0002049389,0.9917626,0.00002380122,0.00001385831,0.0002715824,0.0001230572,0.00003675362,0.00136562,0.0002596188,0.003081366,0.002737383],"study_design_scores_gemma":[0.001101015,0.0005132073,0.9921057,0.000004611311,0.00001059768,0.00001421867,0.00001407477,0.00009212923,0.001177518,0.00229669,0.002513819,0.0001564287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401648,0.000005923573,0.000001403279,0.001892828,0.0003965728,0.000290707,0.000007402175,0.00002160111,0.05721878],"genre_scores_gemma":[0.9963089,0.00001142291,0.0001107514,0.0008326488,0.00006156621,0.00001611304,0.00001849922,0.00001635072,0.00262374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06411402,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410116945951307,"score_gpt":0.2415864319591129,"score_spread":0.2274852624995999,"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."}}