{"id":"W6893510027","doi":"10.5281/zenodo.2556316","title":"PredictiveEcology/SpaDES: v2.0.3","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; Canadian Forest Service","funders":"","keywords":"Vignette; Work (physics); Process (computing); Object (grammar); Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002354076,0.002450993,0.001257179,0.003045279,0.001296067,0.005796857,0.004441427,0.00337646,0.391834],"category_scores_gemma":[0.01375754,0.00297321,0.002250597,0.002674565,0.0009559432,0.008235156,0.005476919,0.005278917,0.4781958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595658,"about_ca_system_score_gemma":0.002435076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008439947,"about_ca_topic_score_gemma":0.007756421,"domain_scores_codex":[0.9985892,0.0001891759,0.00008847936,0.0002726219,0.0006447464,0.0002157559],"domain_scores_gemma":[0.9956186,0.0009556351,0.0001815825,0.001672031,0.001259282,0.0003128337],"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":[0.0000744398,0.00002109301,0.0004322338,0.0002369725,0.00002089362,0.00006664098,0.00008785033,0.0006531664,0.0004470976,0.004109158,0.9765353,0.01731512],"study_design_scores_gemma":[0.00006298145,0.00001037959,0.0005065046,0.0001443239,0.00001372108,0.0001346906,0.00003583328,0.002450835,0.002694702,0.009930706,0.9839538,0.00006154759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0008852049,0.0005778667,0.07444687,0.001392725,0.0007498221,0.0002443678,0.1024907,0.7470511,0.07216132],"genre_scores_gemma":[0.01049615,0.000811892,0.04435872,0.001908075,0.0002874808,0.0006455891,0.1744257,0.7075486,0.05951783],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.391834,"threshold_uncertainty_score":0.867475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365611097740823,"score_gpt":0.2512915785248237,"score_spread":0.2176354675474155,"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."}}