{"id":"W6912779717","doi":"10.5281/zenodo.7703131","title":"LukeAndersonTrocme/genes_in_space: v1.0","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Work (physics); Field (mathematics); Natural (archaeology); Identification (biology); Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001059919,0.003156729,0.002146034,0.003442605,0.002402163,0.005109013,0.004327781,0.002061246,0.5067308],"category_scores_gemma":[0.003362252,0.001757014,0.001299805,0.004998356,0.0009857293,0.001797312,0.003271636,0.001840054,0.4125243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005097508,"about_ca_system_score_gemma":0.005155965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.495762,"about_ca_topic_score_gemma":0.6144148,"domain_scores_codex":[0.9994496,0.00005358551,0.0000226827,0.0001105678,0.0002268563,0.0001367677],"domain_scores_gemma":[0.9988889,0.0001873345,0.00003892903,0.0003199707,0.0003645086,0.0002003422],"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":[0.00004258715,0.00000576994,0.0003641111,0.0001778553,0.00002676158,0.00003617314,0.00006364795,0.0007807161,0.0003697519,0.002845813,0.9875114,0.007775392],"study_design_scores_gemma":[0.00008179964,0.000004641948,0.0008240152,0.00008639945,0.00001426989,0.00005072602,0.00003549342,0.002032198,0.001085328,0.00356411,0.9921679,0.00005301911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0008227295,0.0005906092,0.01489941,0.0005713135,0.0003582202,0.00007894151,0.8050895,0.1133667,0.06422253],"genre_scores_gemma":[0.01659912,0.001007497,0.02165179,0.0006971102,0.0001526184,0.000430948,0.7249869,0.1339086,0.1005656],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5067308,"threshold_uncertainty_score":0.9857526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04283663519247023,"score_gpt":0.2686008153962188,"score_spread":0.2257641802037486,"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."}}