{"id":"W2786222267","doi":"10.7490/f1000research.1115236.1","title":"Nonconsumptive predator effects on prey demography","year":2018,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Open peer review; Predation; Predator; Plant biology; Biology; Demography; Ecology; Physiology; Sociology","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":[0.0006073872,0.0002768919,0.0003012763,0.0003245138,0.0003894219,0.0005288989,0.0004133821,0.0004619807,0.01162673],"category_scores_gemma":[0.004469801,0.0002049895,0.0002754306,0.0001930034,0.0005706351,0.0005462473,0.0007502843,0.0003735764,0.000375693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005347015,"about_ca_system_score_gemma":0.0003229792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004125598,"about_ca_topic_score_gemma":0.01425689,"domain_scores_codex":[0.9997901,0.00008917325,0.00001214001,0.00004288641,0.00002482821,0.00004090744],"domain_scores_gemma":[0.9947991,0.003737373,0.0004005199,0.0002808399,0.0001619049,0.0006202779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006018081,0.001078339,0.8445694,0.000275678,0.0003849495,0.001297096,0.001145604,0.002738985,0.1068006,0.001587565,0.000736573,0.03336701],"study_design_scores_gemma":[0.00002648803,0.0002679401,0.9965162,0.000005403487,0.00006742417,0.0001516395,0.0002257657,0.001065908,0.001216246,0.0002915224,0.0001592947,0.000006180923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990746,0.00004448468,0.00005071756,0.00002771117,0.000001917236,0.000001741049,0.00004234315,0.000001666477,0.0007547979],"genre_scores_gemma":[0.9990938,0.00003344872,0.00007382369,0.00001736313,0.000002439249,0.000003068103,0.00003957493,0.000004074904,0.0007324633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01162673,"threshold_uncertainty_score":0.03889525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869664653214736,"score_gpt":0.3356410145686378,"score_spread":0.3069443680364904,"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."}}