{"id":"W3013282696","doi":"","title":"LIGHTCURVE PHOTOMETRY OPPORTUNITIES: 2015 APRIL-JUNE.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Takeda (Canada)","funders":"","keywords":"Photometry (optics); Remote sensing; Geography; Astronomy; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006044204,0.0007144303,0.0002947915,0.005238332,0.0005776114,0.001016699,0.0003753536,0.0003177513,0.04802287],"category_scores_gemma":[0.001085917,0.0001727276,0.0003208077,0.00273411,0.0001334254,0.0009377156,0.0009675153,0.000467953,0.01743584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459462,"about_ca_system_score_gemma":0.0005055689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004870871,"about_ca_topic_score_gemma":0.01654837,"domain_scores_codex":[0.999754,0.00001053448,0.000020451,0.00003458574,0.0001042321,0.0000760968],"domain_scores_gemma":[0.9986035,0.00008078812,0.0003335068,0.0001338115,0.0004594819,0.0003888751],"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":[0.0009949286,0.0001625013,0.1136894,0.001075563,0.00009547786,0.00045425,0.00041046,0.000526691,0.007656973,0.00173771,0.6285416,0.2446544],"study_design_scores_gemma":[0.00002019417,0.00008271544,0.2899425,0.0001295615,0.0000164881,0.0002575771,0.0001421609,0.00012787,0.001403077,0.0004118658,0.7074454,0.00002057123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1111447,0.005039392,0.004533253,0.001043794,0.001282554,0.0005860518,0.6517535,0.007318132,0.2172987],"genre_scores_gemma":[0.1994984,0.002356055,0.006667997,0.0005000263,0.0008794901,0.0002476107,0.6985297,0.001291821,0.09002887],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04802287,"threshold_uncertainty_score":0.1606525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223663250409695,"score_gpt":0.2164772277232354,"score_spread":0.1742405952191385,"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."}}