{"id":"W6910921888","doi":"10.5061/dryad.gtht76hp6","title":"Publication release: How well do species distribution models predict occurrences in exotic ranges?","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nucleofection; Limiting; Population; Filter (signal processing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006201651,0.00122898,0.0009161195,0.001745096,0.000531125,0.002649825,0.001751238,0.0008853881,0.05871301],"category_scores_gemma":[0.03396843,0.0007083808,0.001756442,0.002271362,0.0004374972,0.002900626,0.001531139,0.001403857,0.05073464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009548723,"about_ca_system_score_gemma":0.001788905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386633,"about_ca_topic_score_gemma":0.01296867,"domain_scores_codex":[0.9979888,0.0005062166,0.0001864193,0.0005035561,0.0006729799,0.0001419455],"domain_scores_gemma":[0.9854591,0.007955478,0.000795092,0.002111536,0.00327409,0.0004048068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003928122,0.00006816645,0.02782446,0.001260731,0.0002446773,0.0001282333,0.000281345,0.0122371,0.0008226177,0.003700829,0.9059824,0.0470567],"study_design_scores_gemma":[0.0006374712,0.0001614189,0.0540575,0.001276581,0.0002457042,0.0003444573,0.0003590279,0.08673592,0.005621864,0.01772543,0.8325615,0.0002731603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01700673,0.0004541036,0.02868012,0.002092904,0.0009978517,0.0002137376,0.882282,0.05112473,0.01714781],"genre_scores_gemma":[0.04749581,0.0005490305,0.03969441,0.0005637204,0.0001951669,0.0006153044,0.8758106,0.02270367,0.01237228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05871301,"threshold_uncertainty_score":0.1964146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0909077653669637,"score_gpt":0.3034260505299353,"score_spread":0.2125182851629716,"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."}}