{"id":"W2050698044","doi":"10.1007/s10530-014-0649-6","title":"Shaping up model transferability and generality of species distribution modeling for predicting invasions: implications from a study on Bythotrephes longimanus","year":2014,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generality; Transferability; Machine learning; Random forest; Computer science; Linear discriminant analysis; Ecology; Artificial intelligence; Biology; Logit","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356169,0.0001615478,0.0002581937,0.00001414002,0.000398977,0.00002645891,0.0001816932,0.0001143107,0.0005933748],"category_scores_gemma":[0.0006529089,0.0001209033,0.0001029896,0.0001276757,0.0002231973,0.00008378112,0.0001549063,0.0001065868,0.000008976035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576693,"about_ca_system_score_gemma":0.000006996119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002661922,"about_ca_topic_score_gemma":0.0002846555,"domain_scores_codex":[0.9985909,0.0001229419,0.0003926518,0.0005122827,0.0001441063,0.0002370485],"domain_scores_gemma":[0.9990491,0.0004044262,0.00007691153,0.0003144895,0.00003252716,0.0001225088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002471613,0.002144785,0.8119595,0.00002060473,0.00005529354,3.277383e-7,0.001605379,0.01258443,0.1488003,0.01862974,0.0006679308,0.003284517],"study_design_scores_gemma":[0.000677782,0.0003942904,0.8387244,0.0000195492,0.00004164664,5.975706e-7,0.002173967,0.1493263,0.001508998,0.006759421,0.000148849,0.0002241334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299851,0.00002191958,0.06661303,0.0004924744,0.00003962225,0.0006326967,0.001811074,0.00006267179,0.0003413987],"genre_scores_gemma":[0.9986678,0.00005719587,0.0003788886,0.0001202246,0.00002820531,0.0001743176,0.0005572475,0.000005910684,0.00001016209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1472913,"threshold_uncertainty_score":0.6497038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5031021096076514,"score_gpt":0.3190040435568897,"score_spread":0.1840980660507617,"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."}}