{"id":"W2888895095","doi":"10.1098/rspb.2018.1519","title":"Microparasite dispersal in metapopulations: a boon or bane to the host population?","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Metapopulation; Biology; Biological dispersal; Parasite hosting; Host (biology); Population; Ecology; Zoology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001996598,0.0002686022,0.0006115262,0.0003474513,0.0005613589,0.001184952,0.0005937325,0.0008132368,0.00175943],"category_scores_gemma":[0.005737233,0.0002496977,0.0003149792,0.0002258003,0.001637672,0.002689843,0.0007755532,0.0006194462,0.0002081126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273847,"about_ca_system_score_gemma":0.0002182487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474306,"about_ca_topic_score_gemma":0.004925135,"domain_scores_codex":[0.9996077,0.0001980403,0.00001972713,0.00009151088,0.00003421032,0.00004874961],"domain_scores_gemma":[0.9973286,0.0009478311,0.000586019,0.0004800402,0.0001543355,0.0005031642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001413196,0.0003614108,0.574582,0.001663135,0.001938625,0.001392572,0.007994725,0.009342979,0.09100847,0.06511627,0.005611428,0.2395751],"study_design_scores_gemma":[0.0002410771,0.002533301,0.8503457,0.0006882051,0.0007789521,0.001871847,0.004703966,0.03491937,0.004795897,0.08020395,0.01874017,0.0001774544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779781,0.005741121,0.00814136,0.00521272,0.0001023713,0.00002020147,0.00005323566,0.00005370823,0.002697163],"genre_scores_gemma":[0.996886,0.001207938,0.0008761504,0.0004271315,0.00008301386,0.00001007728,0.00002009014,0.00001091548,0.0004786322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001996598,"threshold_uncertainty_score":0.01055914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197193701498502,"score_gpt":0.3331481189741949,"score_spread":0.3011761819592099,"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."}}