{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008189096,0.001026472,0.0007247045,0.00175801,0.001106711,0.0009817634,0.001759843,0.001066021,0.4405527],"category_scores_gemma":[0.0009230399,0.001471236,0.001262072,0.0008848137,0.0003963057,0.0007455485,0.00184475,0.002864255,0.2695529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008924025,"about_ca_system_score_gemma":0.001150956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002066802,"about_ca_topic_score_gemma":0.006971315,"domain_scores_codex":[0.9992854,0.00003954487,0.00007589542,0.0001215894,0.0003293265,0.0001481999],"domain_scores_gemma":[0.9994165,0.0001936143,0.00003196084,0.0001436046,0.0001185524,0.00009581019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004964115,0.0005409343,0.0006332382,0.001080548,0.00004132289,0.0003845288,0.0001313017,0.0006884837,0.444388,0.005094013,0.4657926,0.0807286],"study_design_scores_gemma":[0.0001658471,0.00009931045,0.004513136,0.00015359,0.00003110898,0.0003475553,0.00003477534,0.0008414899,0.2674959,0.0009865011,0.7252742,0.00005664245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02636866,0.002787808,0.1302569,0.001659105,0.003021221,0.007788532,0.3737671,0.03657133,0.4177795],"genre_scores_gemma":[0.0352206,0.002453396,0.06831066,0.001121679,0.000210067,0.009335491,0.2539318,0.0115353,0.617881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4405527,"threshold_uncertainty_score":0.7979836,"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."}}