{"id":"W6949049822","doi":"10.5281/zenodo.12566558","title":"Dataset: WhiteHorse Finance, Inc. (WHF) Stock Performance","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock market; Stock (firearms); Investment (military); Financial market; Stock market bubble","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":[0.0009349265,0.002674908,0.001371742,0.004089013,0.0007694916,0.001995809,0.003028838,0.002786402,0.02856815],"category_scores_gemma":[0.004958771,0.0005331851,0.001269561,0.005553326,0.000362199,0.001354179,0.001757063,0.00175043,0.05793055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123437,"about_ca_system_score_gemma":0.002071557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0300419,"about_ca_topic_score_gemma":0.05190857,"domain_scores_codex":[0.9990653,0.000125762,0.0001314954,0.0002384681,0.0002854945,0.0001534566],"domain_scores_gemma":[0.9983686,0.0003093584,0.0001929595,0.0003620511,0.0005899079,0.0001771598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005609267,0.00004496783,0.001373156,0.000286106,0.00003985954,0.00004248416,0.00001337989,0.0004565526,0.0001139534,0.0003707847,0.9938623,0.003340333],"study_design_scores_gemma":[0.0005167018,0.00006686359,0.0134213,0.0003783205,0.00006933472,0.0001989143,0.0000999222,0.003841996,0.0008051249,0.002543664,0.9779741,0.0000837492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004317983,0.00008685058,0.0001023535,0.00009143676,0.00003170257,0.00001476746,0.9983048,0.0003726818,0.0005635644],"genre_scores_gemma":[0.0005031927,0.00004472996,0.0002307019,0.0000314395,0.000008488954,0.0000418266,0.9987399,0.00002647043,0.0003732479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0300419,"threshold_uncertainty_score":0.09556997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04599177410083728,"score_gpt":0.2305377670853571,"score_spread":0.1845459929845198,"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."}}