{"id":"W7070176312","doi":"","title":"o 0000 hat terI iiii 1 = 88 8-39 3-624 9 ...Gmail Tech support Number USA/Canada","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telephone line; Telephony; Telephone call; Telephone network; Decision support system; Context (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.0003367148,0.0007759421,0.0008392676,0.0009568845,0.003132323,0.005026505,0.0009857725,0.001880985,0.9597426],"category_scores_gemma":[0.0017866,0.0005026294,0.0005374006,0.00125739,0.0004818465,0.001481109,0.001702694,0.001546577,0.9524894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002369927,"about_ca_system_score_gemma":0.002916385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05114038,"about_ca_topic_score_gemma":0.0937384,"domain_scores_codex":[0.9995942,0.00002002529,0.00001005913,0.00008626938,0.0001841198,0.0001054127],"domain_scores_gemma":[0.9978452,0.0001030121,0.00003985334,0.0001472201,0.001140912,0.000723814],"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":[0.00002574452,0.00002953457,0.0001614848,0.0000387449,0.000001581525,0.00002436585,0.00002866621,0.00003093376,0.0003242883,0.0008368024,0.9785728,0.01992511],"study_design_scores_gemma":[0.000007970708,0.00001622214,0.000567731,0.00004772279,0.000001802857,0.00001916309,0.00009993748,0.00005382499,0.0001453588,0.0001224386,0.9989119,0.000005937461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002416913,0.0000708214,0.0002591686,0.000389755,0.0005921734,0.0001022815,0.002173478,0.0009749889,0.9951957],"genre_scores_gemma":[0.0003847467,0.00004907657,0.00005700614,0.0001273488,0.00002605547,0.00001590778,0.0005510281,0.0002375197,0.9985513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05114038,"threshold_uncertainty_score":0.1016854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057741424084242,"score_gpt":0.2552332551008765,"score_spread":0.2446558408600341,"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."}}