{"id":"W3096555142","doi":"","title":"Imager's Corner: Recovering Star Colours","year":2013,"lang":"en","type":"article","venue":"Journal of the Royal Astronomical Society of Canada","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Star (game theory); Geology; Physics; Astronomy; Computer science; Astrophysics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003776984,0.0006475979,0.000673247,0.002341113,0.0005614707,0.00124238,0.0009229502,0.000949759,0.009671459],"category_scores_gemma":[0.00126899,0.0003817394,0.0007221957,0.001701787,0.0003355802,0.0008996697,0.001352656,0.000840494,0.01087935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003357708,"about_ca_system_score_gemma":0.001239275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564445,"about_ca_topic_score_gemma":0.03312607,"domain_scores_codex":[0.9997156,0.00001898624,0.000006427003,0.00006291875,0.0001275061,0.0000684616],"domain_scores_gemma":[0.9995223,0.00004741886,0.00002510119,0.0001060797,0.0002053701,0.00009366155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001212147,0.0001957383,0.01613009,0.000258793,0.00020755,0.000470819,0.0004127341,0.007531649,0.1520154,0.002162003,0.08415823,0.7352448],"study_design_scores_gemma":[0.0004386764,0.0003213449,0.1270426,0.0001155335,0.0003899623,0.00148833,0.001387368,0.5523189,0.1728265,0.008647225,0.1348351,0.0001884787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3914962,0.001942241,0.4635355,0.001270093,0.000861891,0.0003176937,0.01496878,0.07408111,0.05152637],"genre_scores_gemma":[0.4699826,0.0007726412,0.4743752,0.0003881216,0.000276306,0.00007490376,0.01790089,0.006726351,0.02950312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01564445,"threshold_uncertainty_score":0.03235424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005261009680031186,"score_gpt":0.1499699081213761,"score_spread":0.1447088984413449,"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."}}