{"id":"W2336829622","doi":"10.1111/mec.13653","title":"The hitchhiker's guide to becoming invasive: exotic mosquitoes spread across a <scp>US</scp> state by human transport not autonomous flight","year":2016,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Biology; Invasive species; State (computer science); Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001300133,0.001947973,0.0008104811,0.00254279,0.001578444,0.002813858,0.003007967,0.003679455,0.04398392],"category_scores_gemma":[0.00316726,0.0009345124,0.0006333819,0.00136882,0.002701944,0.004475819,0.00289593,0.004498429,0.02541254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093143,"about_ca_system_score_gemma":0.002645403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03339182,"about_ca_topic_score_gemma":0.07474333,"domain_scores_codex":[0.9994645,0.0001676446,0.00004996213,0.0001168465,0.0001530696,0.00004803712],"domain_scores_gemma":[0.9986508,0.0004198706,0.0001143446,0.0001242633,0.0003275945,0.0003631758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000008809764,0.00001936006,0.0006673994,0.00007907236,0.000009037632,0.0001506381,0.000314126,0.00006333154,0.0002321607,0.001654023,0.9395193,0.05728268],"study_design_scores_gemma":[0.000006761586,0.00003457673,0.001643858,0.0003415337,0.000009654806,0.0006533416,0.0005928327,0.0001930131,0.0001113408,0.002298805,0.9940923,0.00002188204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006665371,0.1633464,0.08326375,0.3699307,0.09091162,0.001509786,0.009285009,0.01000754,0.2650799],"genre_scores_gemma":[0.02007517,0.123387,0.06669969,0.09658303,0.02124315,0.001013786,0.003921022,0.001994943,0.6650822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04398392,"threshold_uncertainty_score":0.1471408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009228491497833663,"score_gpt":0.2784832204634528,"score_spread":0.2692547289656191,"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."}}