{"id":"W4398344290","doi":"10.7910/dvn/3qbyb5/fxltfo","title":"product-3600","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Database; Product (mathematics); World Wide Web; Business; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001488189,0.005392416,0.002109608,0.008680203,0.001489086,0.003999621,0.004384109,0.003130087,0.1345362],"category_scores_gemma":[0.008548702,0.001021285,0.002472507,0.009431981,0.0008424356,0.002101056,0.002894465,0.002567834,0.2686509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409713,"about_ca_system_score_gemma":0.003675666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948181,"about_ca_topic_score_gemma":0.02830965,"domain_scores_codex":[0.9979926,0.0003278692,0.0002076289,0.0006093003,0.0004650713,0.0003975123],"domain_scores_gemma":[0.9961053,0.0007705838,0.0002821147,0.001311926,0.0009217603,0.0006082593],"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":[0.00005559145,0.0000276172,0.0003341852,0.0003244927,0.00002078478,0.00001107357,0.00001079916,0.0001133834,0.00007212815,0.0002228131,0.9971455,0.001661749],"study_design_scores_gemma":[0.0005473893,0.00007766541,0.002816538,0.0003844257,0.00005625396,0.0001078762,0.0001179358,0.0008557559,0.0006493537,0.00171546,0.9926277,0.00004373048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001820597,0.00009785746,0.00006688399,0.00007270977,0.00006461873,0.00001351663,0.9978203,0.0008131987,0.0008689109],"genre_scores_gemma":[0.0002937487,0.00005767037,0.000181506,0.00004291374,0.00001336242,0.00003576009,0.9984543,0.0001186962,0.0008019694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8654639,"threshold_uncertainty_score":0.4500684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897138653996185,"score_gpt":0.2492536442956794,"score_spread":0.2302822577557176,"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."}}