{"id":"W2991654523","doi":"","title":"LIGHTCURVE PHOTOMETRY OPPORTUNITIES: 2015 JANUARY-MARCH.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Takeda (Canada)","funders":"","keywords":"Photometry (optics); Astronomy; Asteroid; Light curve; Geology; Physics; Stars","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006669438,0.000672749,0.0003305521,0.006441828,0.0006045227,0.001447711,0.0004240931,0.0003416426,0.04225956],"category_scores_gemma":[0.001928983,0.0002097443,0.0003037401,0.004491324,0.0001566055,0.001362934,0.001171749,0.0005101412,0.02324374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005795297,"about_ca_system_score_gemma":0.0007328106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006928835,"about_ca_topic_score_gemma":0.0201698,"domain_scores_codex":[0.999685,0.00001421219,0.00003644251,0.00004509647,0.0001458853,0.00007329771],"domain_scores_gemma":[0.9980453,0.0001093325,0.0004648586,0.0001846491,0.0007752177,0.0004205756],"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":[0.0004749841,0.00007994744,0.05007432,0.001059491,0.00006525892,0.0002902937,0.0002780218,0.0002689731,0.003186031,0.001642387,0.7816306,0.1609497],"study_design_scores_gemma":[0.00001417508,0.00003817221,0.1130104,0.0001665217,0.00001383084,0.0002140682,0.0001153524,0.00008261089,0.000759706,0.0004169863,0.8851513,0.00001695395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0499932,0.007417495,0.002721531,0.001233364,0.001325975,0.0003352885,0.7744824,0.006854214,0.1556365],"genre_scores_gemma":[0.09450296,0.003631957,0.005706721,0.0005611427,0.0008557392,0.0001612595,0.8277686,0.001329725,0.06548192],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9577404,"threshold_uncertainty_score":0.1413723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07806874726524889,"score_gpt":0.2402192196986092,"score_spread":0.1621504724333603,"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."}}