{"id":"W6930513562","doi":"10.5281/zenodo.14237198","title":"juhanimerilehto/SEC-EDGAR-API-Retriever: SEC EDGAR API Retriever","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Upload; Python (programming language); MEDLINE","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":[0.003029794,0.004211864,0.001795772,0.003616448,0.0007895359,0.00497925,0.00323992,0.001606051,0.2709399],"category_scores_gemma":[0.009217562,0.002129134,0.002151102,0.002601557,0.0008398452,0.005775083,0.005935496,0.002058615,0.3914397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342735,"about_ca_system_score_gemma":0.001661174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003818582,"about_ca_topic_score_gemma":0.002542686,"domain_scores_codex":[0.9977013,0.0002613226,0.0003364276,0.0005095159,0.0008430476,0.0003483789],"domain_scores_gemma":[0.9954996,0.000818793,0.0004332694,0.001738301,0.001191356,0.0003187436],"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":[0.0002746525,0.00004391741,0.0008472807,0.0006161577,0.00006060228,0.0001057564,0.0001165058,0.0003685639,0.001597994,0.002483618,0.9557402,0.03774471],"study_design_scores_gemma":[0.0001898604,0.00004644987,0.002213428,0.0002007296,0.00004069693,0.0002661942,0.0000583446,0.005117421,0.01265414,0.006738273,0.9723198,0.0001546884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.000858816,0.0001632392,0.03984173,0.0002044017,0.0002083512,0.0001461717,0.1111514,0.8280421,0.01938365],"genre_scores_gemma":[0.01363553,0.0004341307,0.03752891,0.0006090637,0.000253207,0.0006856507,0.3554081,0.5362965,0.05514891],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2709399,"threshold_uncertainty_score":0.9063841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983710910751208,"score_gpt":0.2325108224340087,"score_spread":0.2126737133264966,"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."}}