{"id":"W4398963451","doi":"10.7910/dvn/zdn6bn/dlycfg","title":"vidgrabber.py","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Misinformation; Replication (statistics); Politics; Internet privacy; Political science; Computer security; Computer science; Biology; Law; Virology","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":[0.001719997,0.003656846,0.001842615,0.004382324,0.001109508,0.003032221,0.002692377,0.001612792,0.2011898],"category_scores_gemma":[0.005663039,0.001802973,0.00216755,0.004382466,0.0008825281,0.002420696,0.003464442,0.002911547,0.2579668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243258,"about_ca_system_score_gemma":0.002058584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283053,"about_ca_topic_score_gemma":0.03206059,"domain_scores_codex":[0.9990281,0.0001104805,0.00008065569,0.0004001821,0.0001837313,0.0001968699],"domain_scores_gemma":[0.9977955,0.0005830296,0.0001413263,0.0009194571,0.0002783704,0.0002824576],"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":[0.0001191805,0.00003738037,0.0005693606,0.0003474798,0.00003063329,0.00001351919,0.00003748858,0.0001924095,0.0002897226,0.000484907,0.9937367,0.004141329],"study_design_scores_gemma":[0.0005944007,0.00005760786,0.00412696,0.0001724077,0.00004234019,0.00008776077,0.0001218497,0.003044722,0.00265038,0.005456336,0.9835719,0.00007326438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003032066,0.00005276387,0.0009279723,0.00006182356,0.0000699574,0.00007315967,0.973243,0.02383171,0.001436484],"genre_scores_gemma":[0.0008205152,0.00004469233,0.002138693,0.00007109169,0.00001932525,0.0003177542,0.9917046,0.00344917,0.001434149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7988102,"threshold_uncertainty_score":0.6730469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482881877946331,"score_gpt":0.3113405535780339,"score_spread":0.2765117347985706,"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."}}