{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007760555,0.0001192564,0.0002032032,0.00001055227,0.0001120404,0.00001404863,0.0001593654,0.0001161635,0.0003852022],"category_scores_gemma":[0.00003219302,0.00003521095,0.00006449202,0.00004187749,0.0007649136,0.00003242575,0.00009128416,0.00004641782,0.00001108399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001019321,"about_ca_system_score_gemma":0.0000047492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004480533,"about_ca_topic_score_gemma":0.0005578169,"domain_scores_codex":[0.9991782,0.00003799936,0.0001981373,0.000271297,0.00005535651,0.0002589577],"domain_scores_gemma":[0.9996958,0.0001284885,0.0000404823,0.00003844429,0.00004622802,0.00005059606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004241821,0.00004665749,0.1102941,0.000004159529,0.00001590224,0.000005477049,0.00004118076,8.585418e-7,0.8878148,0.0008193533,0.0003668821,0.000548213],"study_design_scores_gemma":[0.0008856663,0.002178687,0.2470315,0.00001670713,0.00002918051,0.0001556311,0.0003750323,0.000007765986,0.6487314,0.03904514,0.06114758,0.0003956835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928585,0.0004566058,0.00003021227,0.00534313,0.00008313105,0.0002033579,0.0009556814,0.00002391741,0.00004551621],"genre_scores_gemma":[0.9981309,0.00004096164,0.000958898,0.0001893725,0.0001366784,0.00002638946,0.000471247,6.772995e-7,0.00004489501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2390834,"threshold_uncertainty_score":0.4217694,"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."}}