{"id":"W6949431085","doi":"10.5281/zenodo.13909384","title":"Higher Ed Protest Event Dataset - Codebooks and Adjudication Guidelines","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Codebook; Adjudication; Event (particle physics); Event data; Annotation","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":[],"consensus_categories":[],"category_scores_codex":[0.009600027,0.001017744,0.001029576,0.006143703,0.001808781,0.003265527,0.002511115,0.001995354,0.05476635],"category_scores_gemma":[0.05318454,0.0006909325,0.001212525,0.00652815,0.001067314,0.002352286,0.004726709,0.002627,0.05134944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925456,"about_ca_system_score_gemma":0.008112725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01682897,"about_ca_topic_score_gemma":0.03960575,"domain_scores_codex":[0.9902809,0.002014229,0.002658022,0.001423558,0.002879131,0.0007441082],"domain_scores_gemma":[0.9646336,0.009213234,0.002313973,0.008302973,0.01354477,0.001991482],"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":[0.0001618213,0.0001056894,0.003068035,0.0008027695,0.00001925591,0.00006838582,0.0003067542,0.0004388933,0.0005622374,0.004383401,0.972185,0.01789769],"study_design_scores_gemma":[0.0001670064,0.00003996879,0.008694627,0.0005049691,0.00001255996,0.00009791293,0.0004828099,0.001326437,0.0008020556,0.00432034,0.9834906,0.00006073734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001809482,0.0001494835,0.006698767,0.0005708596,0.0002167154,0.002182284,0.9786799,0.002698476,0.006994075],"genre_scores_gemma":[0.002450478,0.00006923746,0.01134965,0.000211869,0.00003357185,0.003457444,0.9787393,0.0004650032,0.003223494],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05476635,"threshold_uncertainty_score":0.1832117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936427606665863,"score_gpt":0.2891784756341129,"score_spread":0.2398141995674543,"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."}}