{"id":"W6930126118","doi":"10.5281/zenodo.11164776","title":"Source data for GEDI - part 4","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phagocytosis and Immune Regulation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Data source; Identification (biology); Data collection; Data processing; Context (archaeology)","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":[0.001544504,0.003378123,0.00185345,0.006061471,0.0008211855,0.002870895,0.002756055,0.002650363,0.1455116],"category_scores_gemma":[0.008622038,0.0009679358,0.002079495,0.00876814,0.0005483878,0.001387925,0.002255028,0.002036984,0.1759695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630252,"about_ca_system_score_gemma":0.003359938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316878,"about_ca_topic_score_gemma":0.03349261,"domain_scores_codex":[0.9983951,0.0002915553,0.0001888579,0.0004975105,0.000369547,0.0002573209],"domain_scores_gemma":[0.996421,0.001186905,0.0003742528,0.0009183973,0.0007104591,0.0003890486],"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":[0.0001033109,0.00002379115,0.0006853039,0.0007167644,0.00005899821,0.00001809296,0.00002005579,0.0005729851,0.0001101716,0.0004424448,0.995567,0.001681061],"study_design_scores_gemma":[0.0004492435,0.00002657682,0.004246652,0.0004289617,0.00009742122,0.00005318186,0.00007489767,0.0007059341,0.0004968442,0.002729095,0.9906408,0.00005044992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000691875,0.0000430668,0.00004723363,0.00003501179,0.00001216644,0.000005245134,0.9991508,0.0002597414,0.0003775441],"genre_scores_gemma":[0.0002665391,0.00003956513,0.0002080579,0.00003640877,0.000005227777,0.00004517191,0.9987434,0.0001373502,0.0005182748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1455116,"threshold_uncertainty_score":0.4867846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636675510853079,"score_gpt":0.2791408800637326,"score_spread":0.2154733289784247,"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."}}