{"id":"W3161126754","doi":"","title":"Binary Universe: Planning on a Mac","year":2016,"lang":"en","type":"article","venue":"Journal of the Royal Astronomical Society of Canada","topic":"Advanced Mathematical Theories","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Astronomy; Universe; Binary number; Astrophysics; Computer science; Physics; Mathematics; Arithmetic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041804,0.0005924128,0.0007169443,0.0008175354,0.001902375,0.005674749,0.001422144,0.001470369,0.01461497],"category_scores_gemma":[0.005223348,0.0006558126,0.0009402659,0.001297777,0.003286797,0.005995787,0.002381418,0.002401346,0.0009740127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003732587,"about_ca_system_score_gemma":0.003455325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03436612,"about_ca_topic_score_gemma":0.03515739,"domain_scores_codex":[0.9992943,0.0002519007,0.00004019265,0.0001334347,0.0001745749,0.0001057477],"domain_scores_gemma":[0.998035,0.0009491694,0.0001098634,0.000354585,0.0002830243,0.0002684065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000209706,0.000006830583,0.00008447947,0.00002073795,0.000005698708,0.00002457402,0.00007574128,0.004907351,0.00008035083,0.9904771,0.001720648,0.002575572],"study_design_scores_gemma":[0.000009547072,0.000004485783,0.00006528186,0.000007919074,0.000006540995,0.00001205968,0.00003312981,0.0244525,0.00008622713,0.9717495,0.003566559,0.00000622949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1020424,0.001554597,0.6007913,0.01007773,0.0004472905,0.0001384499,0.001634131,0.0008250322,0.2824891],"genre_scores_gemma":[0.805139,0.0008978589,0.1497205,0.0005399498,0.0002826388,0.0001174444,0.0007889711,0.0002008463,0.0423127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03436612,"threshold_uncertainty_score":0.0683322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612405472461945,"score_gpt":0.2469945580679951,"score_spread":0.2308705033433757,"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."}}