{"id":"W3213036091","doi":"10.5281/zenodo.3733916","title":"Motor Neuron Progenitor Induction and Differentiation (interactive pdf)","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Motor neuron; Progenitor; Neuroscience; Computer science; Progenitor cell; Biology; Stem cell; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007823679,0.00007647928,0.00005768905,0.00003963108,0.0003256466,0.0001556689,0.0001670246,0.00004408656,0.00117086],"category_scores_gemma":[0.00004746443,0.0000777368,0.00002412258,0.00007208244,0.0000363582,0.00001373846,0.0003054968,0.00009309775,0.001826184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001448535,"about_ca_system_score_gemma":0.000001419261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002266515,"about_ca_topic_score_gemma":7.572637e-8,"domain_scores_codex":[0.9993485,0.00007216194,0.00008885201,0.0002511491,0.000105595,0.0001337992],"domain_scores_gemma":[0.9995456,0.000002534118,0.00004945972,0.000182291,0.0001573456,0.00006277044],"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":[0.00009817587,0.00006478631,0.00006926207,0.00002797018,0.00002206238,2.558691e-7,0.0001125973,0.00002090854,0.9692383,0.0001029825,0.004717587,0.02552504],"study_design_scores_gemma":[0.0006299117,0.001126482,0.04057441,0.00001425134,0.00001284447,0.00003212551,0.0001015824,0.001129908,0.0696664,0.00008064007,0.8864188,0.0002126262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900915,0.00003143859,0.0003351544,0.00008796262,0.0001088963,0.0002608678,0.00002590311,0.00003305279,0.009025203],"genre_scores_gemma":[0.9975842,0.00005163937,0.00004677241,0.00004521445,0.0001697776,5.144616e-8,0.0006458006,0.0002008675,0.001255722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.899572,"threshold_uncertainty_score":0.9997422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156313051204337,"score_gpt":0.217544400353977,"score_spread":0.2059812698419337,"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."}}