{"id":"W6892833467","doi":"10.5281/zenodo.12552875","title":"mcgilldinglab/scCross: v1.0.5","year":2024,"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":"Process (computing); Identification (biology); Product (mathematics); Work (physics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00207628,0.002963154,0.001948952,0.003117211,0.001494271,0.004446319,0.007471965,0.002816799,0.6224702],"category_scores_gemma":[0.004618056,0.002057475,0.001229122,0.003132345,0.001094239,0.004052959,0.004204022,0.002528516,0.7184406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748778,"about_ca_system_score_gemma":0.001653909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0090915,"about_ca_topic_score_gemma":0.01011021,"domain_scores_codex":[0.9980427,0.0002086841,0.00009741719,0.0004003589,0.0009176786,0.0003330837],"domain_scores_gemma":[0.995753,0.0004582928,0.0001768951,0.001855931,0.0008564044,0.0008993652],"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":[0.0002162595,0.00003276025,0.0002034931,0.0003079618,0.00001767317,0.00003871807,0.0000545624,0.0005543788,0.002582875,0.004571912,0.9622653,0.02915404],"study_design_scores_gemma":[0.00006780949,0.00003129858,0.0003272997,0.00006630505,0.00001424131,0.00008707211,0.00001928389,0.001327175,0.005897314,0.003313845,0.9887825,0.00006578298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00122894,0.0005891828,0.05467945,0.0005413911,0.0004082731,0.0002796921,0.1220821,0.5119074,0.3082836],"genre_scores_gemma":[0.01444298,0.0004770129,0.02660933,0.0007113121,0.0001935767,0.0005618467,0.2832635,0.3905232,0.2832174],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3775298,"threshold_uncertainty_score":0.5385004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03875226479223851,"score_gpt":0.2680850991492513,"score_spread":0.2293328343570128,"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."}}