{"id":"W4393717139","doi":"10.5281/zenodo.291988","title":"Solar System Integrations With Rebound","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Environmental science; 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":[0.0006332219,0.00248504,0.001356926,0.001908122,0.0008447969,0.002078386,0.003046257,0.00209275,0.0240744],"category_scores_gemma":[0.002810693,0.0005957303,0.0021928,0.004762442,0.000405912,0.001645742,0.001638351,0.002344934,0.04295735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403422,"about_ca_system_score_gemma":0.001685596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02658053,"about_ca_topic_score_gemma":0.04525982,"domain_scores_codex":[0.9991652,0.0001290763,0.00008875027,0.000257116,0.000234272,0.0001256422],"domain_scores_gemma":[0.9991378,0.000137256,0.00006951881,0.0003165176,0.0002538146,0.00008511134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001126069,0.00005994853,0.002155861,0.0004461408,0.00008725771,0.00005811558,0.00003108191,0.00404238,0.0001974324,0.001097231,0.9875986,0.004113299],"study_design_scores_gemma":[0.0003047655,0.00002868493,0.005988983,0.0002224924,0.00005653726,0.000118421,0.0001135717,0.007264188,0.0009000011,0.002794417,0.9821506,0.0000574024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001042292,0.0001797005,0.0002486553,0.0001101343,0.00006959833,0.00001340821,0.9954208,0.001450673,0.001464819],"genre_scores_gemma":[0.00104394,0.00004936041,0.000248444,0.00002299466,0.000006430929,0.00002394449,0.9981896,0.0001048554,0.0003104161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02658053,"threshold_uncertainty_score":0.0805369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533214697456001,"score_gpt":0.2417263643266623,"score_spread":0.2163942173521023,"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."}}