{"id":"W7037559588","doi":"","title":"ENEL X EXPANDS MULTI-UNIT RESIDENTIAL EV CHARGING IN CANADA WITH KILLAM APARTMENT REIT AND CATALYST SALES AND MARKETING","year":2021,"lang":"en","type":"other","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Apartment; Real estate investment trust; Real estate; Government (linguistics); Purchasing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002355345,0.0001839833,0.0002215365,0.0001551041,0.00006900084,0.0001723301,0.0002010891,0.00006332647,0.0001739687],"category_scores_gemma":[0.00001378525,0.0001562747,0.0000121501,0.0001537846,0.00002507768,0.0001319645,0.0001792052,0.0001284304,0.000001679963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008226746,"about_ca_system_score_gemma":0.0005089064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5513482,"about_ca_topic_score_gemma":0.9721847,"domain_scores_codex":[0.9989477,0.00006666312,0.0002067499,0.0003033557,0.0002539839,0.0002215939],"domain_scores_gemma":[0.9994466,0.0000397001,0.0001221101,0.0002738893,0.00002707189,0.00009058104],"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":[0.0002737042,0.0004214526,0.2706561,0.00751522,0.001344121,0.003377033,0.04158798,0.0001559068,0.0003511671,0.04207235,0.5287741,0.1034709],"study_design_scores_gemma":[0.01135709,0.0001227777,0.281518,0.00708587,0.0001019087,0.0007216127,0.01091892,0.08953651,0.001628676,0.0000403997,0.5917948,0.005173315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06266363,0.009189228,0.02660959,0.001709996,0.001435616,0.001727435,0.00007622851,0.0004659152,0.8961223],"genre_scores_gemma":[0.5162731,0.001713451,0.04397529,0.00188126,0.000257023,0.0001014684,0.0003508024,0.0002413126,0.4352062],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4609161,"threshold_uncertainty_score":0.6372696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048082740127323,"score_gpt":0.2134009660846092,"score_spread":0.2029201386833359,"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."}}