{"id":"W3209606841","doi":"10.5281/zenodo.3337402","title":"NeuroEDDU protocols_iPSC culture","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.001847205,0.002370977,0.002041881,0.00370841,0.003127367,0.002090799,0.005891962,0.001616797,0.1265548],"category_scores_gemma":[0.001321983,0.002020151,0.001791681,0.001687743,0.0008868753,0.0009479897,0.00261076,0.004014352,0.1061771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334132,"about_ca_system_score_gemma":0.002415125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003833406,"about_ca_topic_score_gemma":0.01496898,"domain_scores_codex":[0.997682,0.0002402063,0.0003432966,0.0004838802,0.0009697647,0.0002808807],"domain_scores_gemma":[0.9987121,0.0002139883,0.00007232082,0.0005108528,0.0003458426,0.0001450271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008717164,0.0005809617,0.001046487,0.002430257,0.0001711798,0.001086279,0.0007055214,0.001275212,0.6914653,0.01560789,0.1896265,0.09513272],"study_design_scores_gemma":[0.0001158248,0.000103329,0.001876085,0.000268217,0.0001237519,0.0006916444,0.00003667583,0.0007879505,0.1923714,0.001610261,0.8019277,0.00008714476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.02626884,0.0102114,0.3187642,0.001301077,0.003560632,0.01531034,0.3025576,0.0349177,0.2871082],"genre_scores_gemma":[0.03923849,0.008372604,0.2442281,0.002049054,0.0003594085,0.0306872,0.3544202,0.01353135,0.3071136],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1265548,"threshold_uncertainty_score":0.4233681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783436079350809,"score_gpt":0.2509583516437975,"score_spread":0.2331239908502894,"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."}}