{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002040018,0.0002600437,0.0002710911,0.0001471107,0.00009582821,0.0002373408,0.003386046,0.0001407687,0.004971216],"category_scores_gemma":[0.00004841194,0.0002477207,0.00008785624,0.0003084592,0.00004259031,0.0004992903,0.001353817,0.0003336525,0.5583311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004402193,"about_ca_system_score_gemma":0.0002389916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001305311,"about_ca_topic_score_gemma":0.00002202626,"domain_scores_codex":[0.998117,0.00004706988,0.0002607354,0.0008979901,0.00035883,0.0003184321],"domain_scores_gemma":[0.9939673,0.00005000729,0.0001734982,0.005621763,0.0000712769,0.0001161415],"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":[0.000001266189,0.00006216048,0.000001221503,0.00005494828,0.00002023355,0.00001250367,0.000006585878,0.000004438745,0.00001244414,0.00101938,0.997842,0.0009628489],"study_design_scores_gemma":[0.0001262649,0.00001907198,0.00001365261,0.00002338873,0.0000263783,0.00001569815,0.000001802809,0.000142345,0.00004028691,0.00008071785,0.9992173,0.0002930513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[6.160378e-7,0.000001783524,0.005831829,0.00003406148,0.0008756185,0.0005248103,0.9920124,0.00009284466,0.0006259861],"genre_scores_gemma":[0.000002675308,0.0002026938,0.002746413,0.0006521345,0.0003036245,0.0001149827,0.9946313,0.00001092049,0.001335279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5533599,"threshold_uncertainty_score":0.9999975,"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."}}