{"id":"W4393753298","doi":"10.5281/zenodo.7534951","title":"The Invasion of Ukraine Viewed through TikTok: A Dataset","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927944,0.0007264719,0.0003981271,0.002302442,0.0009077456,0.001203187,0.0006821872,0.001096785,0.008400138],"category_scores_gemma":[0.002492395,0.0001967253,0.0003776251,0.002755909,0.0002900925,0.001470316,0.001611229,0.000818729,0.01018373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100421,"about_ca_system_score_gemma":0.000715998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037686,"about_ca_topic_score_gemma":0.05330046,"domain_scores_codex":[0.9994735,0.0001084357,0.00005373198,0.0001201768,0.0001419368,0.0001022414],"domain_scores_gemma":[0.9991222,0.0002077513,0.0001260418,0.0001524863,0.0002385638,0.0001529999],"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":[0.0004082787,0.0002417822,0.03142074,0.001980748,0.00007671151,0.0006275612,0.001814423,0.001213919,0.002334886,0.001979508,0.9199065,0.03799492],"study_design_scores_gemma":[0.00007339459,0.0001264033,0.1267858,0.0006657969,0.00004584094,0.0007216905,0.004539243,0.004466855,0.001835592,0.001014373,0.8596097,0.0001153406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05098123,0.0009750906,0.0006182828,0.0003064393,0.0002006246,0.0001700381,0.9368387,0.0009774714,0.008932171],"genre_scores_gemma":[0.02854414,0.0002744357,0.001422379,0.00008573361,0.00003853872,0.0002005067,0.9664992,0.0001020141,0.002833058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02037686,"threshold_uncertainty_score":0.0405165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0969486070274216,"score_gpt":0.3396112322891762,"score_spread":0.2426626252617546,"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."}}