{"id":"W7011422968","doi":"","title":"MicrosoftOutlook 1^800^492^3958Tech support number","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsoft Office Live Meeting; Microsoft Office; Phone; Microsoft Visual Studio; Visual Basic for Applications; Microsoft excel","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":[0.0008529026,0.002502952,0.00144671,0.003390062,0.00120484,0.00535386,0.001841731,0.002021489,0.952081],"category_scores_gemma":[0.002972787,0.0009924496,0.0008463355,0.001829986,0.0003614853,0.004445333,0.002768925,0.001308949,0.951063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004693162,"about_ca_system_score_gemma":0.001164725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051113,"about_ca_topic_score_gemma":0.001564262,"domain_scores_codex":[0.999019,0.0001075101,0.00005593427,0.0002013809,0.0004445827,0.0001714766],"domain_scores_gemma":[0.9961113,0.0005106038,0.0002304947,0.0005288584,0.0009285897,0.001690094],"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":[0.00007925469,0.00008163828,0.0001493506,0.0001289749,0.000005036046,0.00006232221,0.00002219119,0.00004847613,0.0007043296,0.0008453,0.8398802,0.1579928],"study_design_scores_gemma":[0.00007282566,0.0001162935,0.000515748,0.0001213973,0.00001336764,0.0001914975,0.00005858748,0.0003777251,0.0006882654,0.0009189172,0.9969034,0.00002199995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006410517,0.00044155,0.002172821,0.0003857332,0.0006444055,0.0001466616,0.002051682,0.0124683,0.9810479],"genre_scores_gemma":[0.001398587,0.0002708112,0.0007765203,0.000280128,0.0002142039,0.00006087481,0.001629091,0.002190231,0.9931796],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04791898,"threshold_uncertainty_score":0.06835061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106889538169803,"score_gpt":0.2788426282276905,"score_spread":0.2677737328459924,"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."}}