{"id":"W6931260384","doi":"10.5281/zenodo.4946897","title":"Reduced Numerical Precision in Mondrian Forest, raw results and plots.","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Mondrian; Software; Raw data; Current (fluid); 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":[],"consensus_categories":[],"category_scores_codex":[0.01283818,0.002027387,0.001704799,0.005155334,0.001312701,0.006349307,0.002415658,0.001508773,0.06808829],"category_scores_gemma":[0.09563935,0.001233021,0.001787975,0.005417077,0.001557962,0.005456052,0.002801223,0.00266705,0.03220137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009550187,"about_ca_system_score_gemma":0.00252798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005291042,"about_ca_topic_score_gemma":0.007088332,"domain_scores_codex":[0.9903992,0.002625449,0.001103997,0.002023021,0.003256994,0.0005914053],"domain_scores_gemma":[0.9593982,0.02233586,0.00172882,0.00831863,0.007488706,0.0007299529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001030941,0.0001627764,0.008303835,0.002715003,0.0003308941,0.0002584054,0.0007410602,0.0105345,0.004587723,0.03542806,0.7964517,0.1394551],"study_design_scores_gemma":[0.0004618012,0.0001846014,0.01553261,0.001607204,0.0003293947,0.001058386,0.0005904181,0.08861455,0.027973,0.1744648,0.6887778,0.0004054221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02040683,0.005659825,0.4453849,0.002968963,0.004380956,0.0003472397,0.2117843,0.2655026,0.04356446],"genre_scores_gemma":[0.1652161,0.001902045,0.5599071,0.001679252,0.001157963,0.001424771,0.141539,0.1104569,0.01671691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06808829,"threshold_uncertainty_score":0.227778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05814083725339441,"score_gpt":0.2907534352036446,"score_spread":0.2326125979502501,"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."}}