{"id":"W1635075005","doi":"","title":"MEASUREMENT OF CFHT IMAGES I. IDENTIFICATION, PHOTOMETRY AND CLASSIFICATION","year":2014,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Photometry (optics); Astronomy; Astrophysics; Identification (biology); Stars","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":[],"consensus_categories":[],"category_scores_codex":[0.0001929363,0.0001412395,0.0001964179,0.0002159159,0.00004323564,0.00004571873,0.0001687259,0.00004292238,0.00005346495],"category_scores_gemma":[0.00006964571,0.000143918,0.00003946486,0.0006562197,0.0001419801,0.0003986597,0.00002235909,0.00009514265,0.00001942075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001568861,"about_ca_system_score_gemma":0.000017428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000251737,"about_ca_topic_score_gemma":8.254517e-7,"domain_scores_codex":[0.9990243,0.0000416453,0.0003084953,0.0002072824,0.0002449786,0.000173272],"domain_scores_gemma":[0.9993961,0.00004654062,0.0001029877,0.0003014686,0.00005908289,0.00009380183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001217417,0.00005958039,0.175571,0.0003403355,0.00008701318,7.898927e-7,0.0001526637,0.00007086247,0.3307799,0.0001787799,0.008508791,0.4842381],"study_design_scores_gemma":[0.0001960395,0.00003955117,0.6559753,0.0000529955,0.00003319759,0.000002568257,0.0001059813,0.007656565,0.3290686,0.0002287925,0.00638886,0.0002515439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8850434,0.007447256,0.09321304,0.0003466253,0.0004020226,0.0002744709,0.00002327317,0.000901822,0.01234807],"genre_scores_gemma":[0.9950851,0.0005230599,0.004086979,0.00009121028,0.00005210469,0.00002007052,0.00001414453,0.00004237435,0.00008493882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4839865,"threshold_uncertainty_score":0.5868805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067635866192388,"score_gpt":0.2079574726683585,"score_spread":0.1972811140064347,"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."}}