{"id":"W7008619768","doi":"","title":"CIM GROUP ACQUIRES DATACENTER IN TORONTO AREA | Telecom Engine","year":2018,"lang":"en","type":"other","venue":"","topic":"German History and Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Work (physics); Key (lock); Service (business)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006750314,0.0002105185,0.0002400393,0.00004165239,0.0000694995,0.00006073785,0.0002191441,0.0001329817,0.4922162],"category_scores_gemma":[0.000001941863,0.0001723987,0.00008183695,0.000007246127,0.0001538652,0.0001247852,0.00005560259,0.00007790441,0.0009930589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567564,"about_ca_system_score_gemma":0.00001113203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008904087,"about_ca_topic_score_gemma":0.3612344,"domain_scores_codex":[0.9992635,0.0000221247,0.0001516236,0.0002448621,0.0001068984,0.000211048],"domain_scores_gemma":[0.9995593,0.00001109231,0.00005921495,0.0003162811,0.00001258786,0.00004154008],"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":[0.000002961746,0.00005466921,0.00002092775,0.00003808413,0.00003188264,0.000003852974,0.006607714,8.18943e-9,7.725145e-7,0.02139045,0.9716585,0.000190126],"study_design_scores_gemma":[0.0001889351,0.00002992079,0.00001809112,0.00007142702,0.00001083349,4.088129e-7,0.001912901,0.000004369837,5.26571e-7,0.00002899854,0.9975076,0.0002259629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000070061,0.001024407,0.00001298227,0.00002156507,0.001263687,0.0001399722,0.00008721749,0.0001702711,0.9972098],"genre_scores_gemma":[0.001698576,0.0001384455,0.00007823612,0.0004292613,0.001749738,0.00001511866,0.000244247,0.0001592086,0.9954872],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4912231,"threshold_uncertainty_score":0.9997848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061928540530083,"score_gpt":0.2204158911261303,"score_spread":0.1997966057208295,"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."}}