{"id":"W4286749450","doi":"10.31235/osf.io/smjwb","title":"iCoRe: The GDELT Interface for the Advancement of Communication Research","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sydney Steel (Canada)","funders":"","keywords":"Computer science; Metadata; Interface (matter); World Wide Web; Data science; Event (particle physics); Data access; Open research; Database","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":[0.01354782,0.002194952,0.001685855,0.007840221,0.001427914,0.01140074,0.004212405,0.003494074,0.1612262],"category_scores_gemma":[0.07612426,0.001308593,0.002187082,0.008861495,0.002273812,0.01666295,0.01242535,0.004537995,0.08440914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975866,"about_ca_system_score_gemma":0.004384287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964403,"about_ca_topic_score_gemma":0.003743202,"domain_scores_codex":[0.9915172,0.00321199,0.001025251,0.001065133,0.00268853,0.000491992],"domain_scores_gemma":[0.9482765,0.03373135,0.001472952,0.0104623,0.003986527,0.002070455],"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":[0.0004408805,0.00009780593,0.001090465,0.00153146,0.00009481022,0.0003132829,0.002791652,0.0008103298,0.002749265,0.1454772,0.6141946,0.2304083],"study_design_scores_gemma":[0.0001193676,0.00003194264,0.0007792535,0.0005696831,0.0000290535,0.000279454,0.0003227894,0.00446105,0.001971396,0.07668944,0.9146492,0.00009741831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002205137,0.00194333,0.6736662,0.005276372,0.001362624,0.001023578,0.04072386,0.1805386,0.09326027],"genre_scores_gemma":[0.03066265,0.002742465,0.7697431,0.004133562,0.001298157,0.005259902,0.05943208,0.07156034,0.05516778],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1612262,"threshold_uncertainty_score":0.5393553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3613482648232829,"score_gpt":0.5910762556425849,"score_spread":0.229727990819302,"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."}}