{"id":"W7037267093","doi":"","title":"+1-877-887-3557 Dell™ Technical Support Number","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laptop; Phone; Computer support; Product (mathematics); Computer lab; Decision support system","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":[0.0008264459,0.001554357,0.001377833,0.00118375,0.001435089,0.00498731,0.002165089,0.003069576,0.9733382],"category_scores_gemma":[0.003080361,0.0006532958,0.0006278277,0.001106121,0.0005599404,0.003178195,0.002822944,0.001439601,0.9778606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047064,"about_ca_system_score_gemma":0.0009078649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410355,"about_ca_topic_score_gemma":0.002254258,"domain_scores_codex":[0.9991227,0.00007868084,0.00003349221,0.000312613,0.0002788034,0.0001737885],"domain_scores_gemma":[0.9964542,0.0005482968,0.0001012117,0.0002347285,0.001115599,0.001545854],"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":[0.0001248994,0.0001156877,0.0003044501,0.0002060223,0.000005792326,0.00006760652,0.00006287898,0.00006576683,0.001818394,0.001309734,0.8812948,0.1146239],"study_design_scores_gemma":[0.00003938781,0.000100013,0.0005047114,0.0001207304,0.000008472105,0.0001268999,0.0001353821,0.0002004496,0.0004079131,0.0002537224,0.9980912,0.00001112535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006727438,0.0004290891,0.001338034,0.0009046076,0.0007410482,0.0002207896,0.001555323,0.003357386,0.990781],"genre_scores_gemma":[0.0009636484,0.000156423,0.0004229754,0.0002930075,0.00005662403,0.00005773479,0.0006629728,0.0003618182,0.9970248],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02666181,"threshold_uncertainty_score":0.03802985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322221556601295,"score_gpt":0.264916192553681,"score_spread":0.2516939769876681,"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."}}