{"id":"W2037146302","doi":"10.1111/j.1365-2426.2003.01177.x","title":"Distributional, morphological and genetic consequences of dispersal for temporary pond water mites","year":2004,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Biology; Biological dispersal; Ecology; Parasitism; Gene flow; Zoology; Larva; Population; Genetic variation; Host (biology); Demography","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":[0.0001676494,0.0001086078,0.00009718349,0.000464449,0.0001761444,0.0001609847,0.00012103,0.0001205001,0.0007961365],"category_scores_gemma":[0.0005563224,0.00006361373,0.0001074417,0.0001680854,0.0002674367,0.0001482886,0.000224998,0.0001712349,0.00007385899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402345,"about_ca_system_score_gemma":0.00005016094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007612925,"about_ca_topic_score_gemma":0.002197716,"domain_scores_codex":[0.9999233,0.00002268562,0.00000710298,0.00001944394,0.00001294255,0.00001442274],"domain_scores_gemma":[0.9995008,0.0000829518,0.0002437299,0.00002834728,0.00004703954,0.00009711523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004561032,0.00007480918,0.8536703,0.00004435858,0.00006238959,0.0005878438,0.0003676535,0.0003274958,0.1372219,0.0001921388,0.0001047733,0.006890257],"study_design_scores_gemma":[0.00000242178,0.00006774141,0.9989875,0.000001443744,0.000004216098,0.0002413054,0.00009608221,0.0001170537,0.000415863,0.00002644388,0.00003846814,0.000001461849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998822,0.00001458578,0.00001866022,0.000003126203,2.394297e-7,3.981077e-7,0.00001753532,7.781083e-7,0.00006249885],"genre_scores_gemma":[0.9998758,0.000007817996,0.00002993163,0.000002317924,8.779391e-7,9.585651e-7,0.00004712972,4.8593e-7,0.00003468228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007961365,"threshold_uncertainty_score":0.002663374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593090114337597,"score_gpt":0.2348802300541983,"score_spread":0.2089493289108224,"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."}}