{"id":"W7052178137","doi":"","title":"Quebec wants to be the new green and “cheap” El Dorado for data centers","year":2021,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Data collection; Work (physics); Center (category theory); Agency (philosophy)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009074857,0.0008047754,0.0004439891,0.0009328439,0.005437513,0.004230822,0.001222103,0.003750559,0.3156641],"category_scores_gemma":[0.001805624,0.0004926656,0.0007002071,0.001187489,0.001053534,0.001353011,0.001298323,0.002641302,0.06219184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02422112,"about_ca_system_score_gemma":0.03453122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9396297,"about_ca_topic_score_gemma":0.9732247,"domain_scores_codex":[0.9990036,0.00004929415,0.00001008976,0.00008610748,0.0004229452,0.000427969],"domain_scores_gemma":[0.9974999,0.0001378093,0.00005221246,0.0001270067,0.001302219,0.0008808661],"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":[0.00004695353,0.00003314421,0.001003299,0.00002510274,0.00000536208,0.00005223199,0.00002531357,0.0001489171,0.000297178,0.009349525,0.9764693,0.01254375],"study_design_scores_gemma":[0.00002859678,0.000008359541,0.00178049,0.00002208556,0.000002820709,0.00001926674,0.00007231878,0.0003778492,0.0002126577,0.0005710141,0.9968941,0.00001033965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003942857,0.001178954,0.00155597,0.0355034,0.001920103,0.0001781031,0.0161208,0.001820652,0.9377791],"genre_scores_gemma":[0.00881135,0.0002712403,0.0008604756,0.004232876,0.00008159264,0.00002951986,0.002201311,0.0003445282,0.9831671],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3156641,"threshold_uncertainty_score":0.9761222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04794922923363855,"score_gpt":0.3282321907031017,"score_spread":0.2802829614694632,"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."}}