{"id":"W2134280372","doi":"10.1111/j.1365-2664.2008.01568.x","title":"Forecasting the potential distribution of the invasive tunicate <i>Didemnum vexillum</i>","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Niche; Environmental niche modelling; Aquaculture; Geography; Distribution (mathematics); Ecological niche; Ecology; Fishing; Fishery; Habitat; Biology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004435818,0.00008874473,0.0002023602,0.00001469918,0.000345155,0.000003883979,0.0005180566,0.00009071016,0.001165631],"category_scores_gemma":[0.0002185463,0.00004923631,0.0001253663,0.0001508244,0.0009296188,0.00007690207,0.0003680582,0.0003225352,0.00004291735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038407,"about_ca_system_score_gemma":0.00005543434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001493912,"about_ca_topic_score_gemma":0.0001951615,"domain_scores_codex":[0.9990252,0.00007402029,0.0004195459,0.0001011465,0.0001730269,0.0002071125],"domain_scores_gemma":[0.9988472,0.0002406866,0.0006633857,0.0001777343,0.0000313496,0.00003964719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008256701,0.0006679713,0.7317776,0.00003280876,0.000361488,0.0001835157,0.002166163,0.04012764,0.05993927,0.007835083,0.1517755,0.004307313],"study_design_scores_gemma":[0.0005612824,0.0001931512,0.9718937,0.000004185736,0.00005385569,0.0007732743,0.0002470826,0.0002125387,0.01080852,0.006480263,0.008682424,0.00008967766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851977,0.00001159809,0.00006375246,0.001742822,0.0003796469,0.000136885,0.000003456859,0.000002669543,0.01246143],"genre_scores_gemma":[0.9989531,0.00008518101,0.000101577,0.0005523366,0.0001080722,0.000004703938,0.00000160499,0.000004972148,0.0001884216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2401161,"threshold_uncertainty_score":0.9997475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454418428142142,"score_gpt":0.1861477354117658,"score_spread":0.1716035511303444,"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."}}