{"id":"W7064826091","doi":"","title":"Canada Pension Plan Investment Board Trims Stake in Automatic Data Processing, Inc. (NASDAQ:ADP)","year":2022,"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":"Plan (archaeology); Pension plan; Investment (military); Pension; Government (linguistics)","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":[0.00144408,0.0009497015,0.0005809344,0.001826868,0.006313485,0.004911608,0.00118406,0.002579642,0.2298026],"category_scores_gemma":[0.004406277,0.0006571354,0.0004970017,0.00187249,0.001182876,0.001259611,0.001386687,0.002791187,0.07662893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02313125,"about_ca_system_score_gemma":0.07336091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9358851,"about_ca_topic_score_gemma":0.9593757,"domain_scores_codex":[0.9975607,0.00004926392,0.00002942929,0.0001513519,0.00174469,0.0004646688],"domain_scores_gemma":[0.9928155,0.000272819,0.00008662413,0.0002331814,0.005369717,0.001222197],"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":[0.00004562883,0.00002495458,0.0006345517,0.00001703801,0.000003099791,0.00002391636,0.00002271844,0.00009761919,0.0001827391,0.006113398,0.9762591,0.01657533],"study_design_scores_gemma":[0.00002271757,0.00001673182,0.002942216,0.00001932181,0.000003682219,0.00002129432,0.00008667001,0.0006277112,0.0004770307,0.0008318833,0.994936,0.00001465452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003976711,0.0007096076,0.001433172,0.02249184,0.001497733,0.0002368226,0.03739569,0.003016717,0.9292417],"genre_scores_gemma":[0.009764057,0.0003573613,0.0009548898,0.001739477,0.00009988156,0.00003020997,0.006932332,0.0004258514,0.979696],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9358851,"threshold_uncertainty_score":0.7687663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254425091315413,"score_gpt":0.2700342258997902,"score_spread":0.2374899749866361,"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."}}