{"id":"W6894045881","doi":"10.5281/zenodo.8015102","title":"The sspm R package for spatially-explicit surplus production population models","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Population; Production (economics); Documentation; Production model; Suite; Population model; Production system (computer science)","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":[0.001994282,0.001950309,0.001654148,0.001372885,0.0005977238,0.001945053,0.003520282,0.001280606,0.1929602],"category_scores_gemma":[0.01082017,0.001919366,0.002452575,0.001722116,0.0003980831,0.001804982,0.001686304,0.002307869,0.1044744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007752033,"about_ca_system_score_gemma":0.001963716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630083,"about_ca_topic_score_gemma":0.01794141,"domain_scores_codex":[0.9992195,0.0003098159,0.00005895816,0.0001755706,0.0001566472,0.00007946484],"domain_scores_gemma":[0.9960007,0.002451296,0.0001892862,0.0007689749,0.0004829726,0.0001067062],"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":[0.0001142773,0.00008226439,0.003714275,0.001043551,0.0006079571,0.0002283316,0.0001438521,0.1130514,0.0006524916,0.02937829,0.8071976,0.04378569],"study_design_scores_gemma":[0.0005213337,0.00006130249,0.00312429,0.0003116875,0.0002793119,0.0002607505,0.00008735305,0.3922713,0.002666362,0.07311844,0.5271173,0.0001806869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005988655,0.0004381268,0.3788401,0.0007981207,0.0005431246,0.0002379819,0.414082,0.1735875,0.02548452],"genre_scores_gemma":[0.07198674,0.000927712,0.3909468,0.001100902,0.0003469621,0.002350664,0.2928608,0.1903149,0.04916446],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1929602,"threshold_uncertainty_score":0.6455162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979792661622088,"score_gpt":0.2224405151874889,"score_spread":0.192642588571268,"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."}}