{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358737,0.0004356067,0.0003797839,0.005140518,0.00101671,0.001509991,0.0006559195,0.0005279719,0.005539326],"category_scores_gemma":[0.006160721,0.0002687328,0.0003441794,0.004027959,0.0002846034,0.0008414656,0.001999877,0.000494104,0.003675283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282921,"about_ca_system_score_gemma":0.0008125063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216572,"about_ca_topic_score_gemma":0.004731119,"domain_scores_codex":[0.9989183,0.00009096137,0.0001007515,0.0002460712,0.0004361015,0.0002078377],"domain_scores_gemma":[0.9947755,0.001066348,0.001170077,0.00146208,0.0008625742,0.0006633831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002862773,0.0003961664,0.5549011,0.000799877,0.0001640514,0.009356671,0.005927129,0.001875432,0.04524709,0.003612029,0.1522827,0.222575],"study_design_scores_gemma":[0.0001831485,0.0004617598,0.5254716,0.0001929835,0.0002041746,0.0105508,0.003953939,0.01454731,0.04290148,0.004169101,0.3971814,0.0001823448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359698,0.0009213231,0.01172909,0.0008898129,0.0002488779,0.0001977001,0.03324107,0.003597431,0.01320481],"genre_scores_gemma":[0.8440552,0.0003803277,0.03101034,0.0002551046,0.0001401749,0.0002496951,0.109918,0.001078237,0.01291282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005539326,"threshold_uncertainty_score":0.01853091,"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."}}