{"id":"W7051808189","doi":"","title":"Plug-In Vehicle Sales In Canada Could Surge, But Only With Increased Supply, Research Finds","year":2015,"lang":"en","type":"other","venue":"","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Sales management; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008016855,0.0007144347,0.0003621884,0.002511268,0.005791086,0.005669881,0.001070207,0.00261229,0.2080945],"category_scores_gemma":[0.002367936,0.0003777504,0.0008559842,0.003189313,0.001251388,0.002995695,0.001188104,0.002394219,0.05193231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01412987,"about_ca_system_score_gemma":0.04848136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8249592,"about_ca_topic_score_gemma":0.9371446,"domain_scores_codex":[0.9983373,0.00003342435,0.00002057446,0.00009557529,0.00105343,0.0004595878],"domain_scores_gemma":[0.9952643,0.0002521807,0.00007360984,0.0001124319,0.00350269,0.0007947255],"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":[0.00009807998,0.00007667035,0.004221561,0.0001649142,0.00001083881,0.0001191513,0.0002,0.0002320673,0.0007958504,0.02179134,0.8873627,0.08492679],"study_design_scores_gemma":[0.00001367648,0.00002373645,0.006930742,0.0001032346,0.00001221535,0.00004814553,0.0007606187,0.0002625704,0.0008499493,0.001441082,0.9895343,0.00001968795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01079203,0.003492691,0.001634391,0.02651571,0.00221578,0.0001294356,0.01144497,0.001447169,0.9423277],"genre_scores_gemma":[0.02192226,0.002996016,0.0009099757,0.003072399,0.0001468547,0.00002055357,0.005762992,0.0002364209,0.9649325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2080945,"threshold_uncertainty_score":0.6961455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237929086824802,"score_gpt":0.2486139053835707,"score_spread":0.2248209967010905,"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."}}