{"id":"W4224292540","doi":"10.21105/joss.03220","title":"portalcasting: Supporting automated forecasting of rodent populations","year":2022,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Rodent; Computer science; Biology; Ecology","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":[0.002557693,0.001554108,0.001222541,0.001610905,0.0004855366,0.001855767,0.003011252,0.001024769,0.03056689],"category_scores_gemma":[0.008943743,0.001009268,0.001300277,0.001390841,0.0004052416,0.002507443,0.001900127,0.001821582,0.01133462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006694235,"about_ca_system_score_gemma":0.001435271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591706,"about_ca_topic_score_gemma":0.01435412,"domain_scores_codex":[0.9993253,0.0001259048,0.00006161797,0.0002351625,0.0001948487,0.00005714131],"domain_scores_gemma":[0.99742,0.001182121,0.0001662389,0.0005233974,0.0004492701,0.0002590643],"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":[0.001298665,0.0003119638,0.02115976,0.0009995123,0.0005011447,0.0005098744,0.0008473258,0.1144999,0.008305092,0.008698198,0.6017045,0.241164],"study_design_scores_gemma":[0.0004918239,0.00006877015,0.004491353,0.00006754261,0.00006103485,0.00009549539,0.00006544769,0.8985193,0.005742045,0.01301081,0.07726365,0.0001227376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01019729,0.0002051668,0.2428292,0.0003257754,0.0003653181,0.000180762,0.0351244,0.7059555,0.004816586],"genre_scores_gemma":[0.2615363,0.0008767606,0.4814063,0.0006644391,0.0004536972,0.001218189,0.151969,0.09105031,0.01082502],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03056689,"threshold_uncertainty_score":0.1022565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09598568395618054,"score_gpt":0.3246612111660841,"score_spread":0.2286755272099036,"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."}}