{"id":"W6929073819","doi":"10.48550/arxiv.1202.6007","title":"Planet Hunters: New Kepler planet candidates from analysis of quarter 2","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Planet; Kepler; Quarter (Canadian coin); RADIUS; Kepler-69c; Offset (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004073173,0.0003126824,0.0005542318,0.000960061,0.00006625486,0.0006731307,0.004604684,0.000201497,0.0006024173],"category_scores_gemma":[0.00003832161,0.0003343695,0.0001406591,0.001012799,0.00008865537,0.00657922,0.003677153,0.0004808964,0.0001885517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009944127,"about_ca_system_score_gemma":0.0001504896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02427579,"about_ca_topic_score_gemma":0.002427127,"domain_scores_codex":[0.9975303,0.0002865474,0.0002917269,0.001148172,0.0002615549,0.0004816901],"domain_scores_gemma":[0.9960544,0.000427123,0.0005131586,0.002643154,0.0000508956,0.000311277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006539696,0.0009236782,0.3482886,0.0003793268,0.03179388,0.001382979,0.003054644,0.2691708,0.0001781108,0.2095444,0.1324163,0.002213357],"study_design_scores_gemma":[0.001765833,0.0001962271,0.1115436,0.0001363316,0.006876381,0.000002362161,0.0006986395,0.7566182,0.0001314186,0.004788148,0.115264,0.001978908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1637218,0.000402895,0.8136396,0.0004626619,0.001005084,0.0007179932,0.003173426,0.0003299071,0.01654655],"genre_scores_gemma":[0.9917741,0.0005295986,0.001599213,0.00007975708,0.0000959845,5.486879e-7,0.004262669,0.00001205297,0.001646086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8280522,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12933516461208,"score_gpt":0.2391691905820429,"score_spread":0.1098340259699629,"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."}}