{"id":"W2490335281","doi":"10.3167/trans.2016.060203","title":"Blue Sky Matter","year":2016,"lang":"en","type":"article","venue":"Transfers","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Mobilities; Focus (optics); Inscribed figure; Field (mathematics); Atmosphere (unit); Computer science; Sociology; Physics; Meteorology; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007509153,0.00007821189,0.0000685958,0.0001186972,0.00004599481,0.0000214618,0.0004384762,0.00005854429,0.0003611805],"category_scores_gemma":[0.000004512063,0.00005316166,0.0000324403,0.0001733319,0.00007335351,0.0004334649,0.00002049882,0.00008438606,0.002419255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004231462,"about_ca_system_score_gemma":0.00001272808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004160875,"about_ca_topic_score_gemma":0.000004608591,"domain_scores_codex":[0.9993812,0.00001910583,0.0001129486,0.0002111776,0.00009121482,0.0001842941],"domain_scores_gemma":[0.9995832,0.00003090706,0.00001342699,0.0003076828,0.00004554657,0.0000191807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001902659,0.00006601737,0.00277633,0.00001051879,0.00005543735,0.00003062232,0.001264804,0.000001838484,0.3197763,0.5405505,0.01426939,0.1211793],"study_design_scores_gemma":[0.001280817,0.0002982704,0.02082461,0.00008035263,0.000008955781,0.00008172804,0.00005156151,0.0001789612,0.9176589,0.01703002,0.04200884,0.0004969642],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2792877,0.000002599778,0.7013659,0.01237289,0.0003385122,0.00006357004,0.000001436717,0.0002194814,0.006347965],"genre_scores_gemma":[0.9959929,0.000002000998,0.001818942,0.0009810769,0.00002272219,0.00001184046,2.474754e-7,0.000006383574,0.001163905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7167052,"threshold_uncertainty_score":0.9983575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306621758724478,"score_gpt":0.2418146306902118,"score_spread":0.228748413102967,"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."}}