{"id":"W6902285778","doi":"10.6084/m9.figshare.29764391","title":"Sentiment-Labeled ESG News and Stock Movement Data of IDX ESG Leaders (Q1 2025) Constituents","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock price; Sentiment analysis; Capital market; Quarter (Canadian coin); Data source","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005122257,0.0007877275,0.0003993267,0.002273126,0.0004570969,0.0008338352,0.0005070065,0.001151802,0.009876479],"category_scores_gemma":[0.001831266,0.0001738237,0.0004527451,0.002023411,0.0002042475,0.000825473,0.0008450191,0.0006267731,0.01401579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007612685,"about_ca_system_score_gemma":0.0007858123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01732926,"about_ca_topic_score_gemma":0.03360965,"domain_scores_codex":[0.9995649,0.00006474252,0.00005508546,0.0001099163,0.000131712,0.00007366161],"domain_scores_gemma":[0.9991125,0.0001690056,0.0001327971,0.0001316657,0.0003478632,0.0001060475],"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":[0.0005570013,0.0003667401,0.04240498,0.00134038,0.000100484,0.0005873903,0.0006186722,0.001628825,0.005834794,0.0010719,0.901027,0.0444618],"study_design_scores_gemma":[0.000173478,0.0001972147,0.2342934,0.0005209281,0.00008443617,0.0003844821,0.002003698,0.007045224,0.005735491,0.0007816643,0.7486898,0.00009014409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02882771,0.0002452826,0.0002730185,0.0002675808,0.0001580847,0.00009829236,0.9643224,0.0004656841,0.005341982],"genre_scores_gemma":[0.01283871,0.00008776078,0.0007899763,0.000061545,0.00003527646,0.00009493548,0.9837756,0.00002454806,0.00229173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01732926,"threshold_uncertainty_score":0.03445673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164177311168968,"score_gpt":0.2960247531643818,"score_spread":0.179607022047485,"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."}}