{"id":"W4399784555","doi":"10.25518/0037-9565.11892","title":"An Automated Photometric Pipeline for the ILMT data","year":2024,"lang":"en","type":"article","venue":"Bulletin de la Société Royale des Sciences de Liège","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université Laval","funders":"Université de Liège; York University","keywords":"Pipeline (software); Computer science; Computer graphics (images); Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001583123,0.001323281,0.00105432,0.00307197,0.0009074386,0.002173089,0.002249899,0.000700637,0.05451178],"category_scores_gemma":[0.005088923,0.0009815921,0.001419707,0.002276347,0.0004665375,0.001918377,0.00318121,0.002149342,0.05420436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213148,"about_ca_system_score_gemma":0.00175241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004355973,"about_ca_topic_score_gemma":0.004182587,"domain_scores_codex":[0.9983324,0.0001091022,0.0001261256,0.0004941601,0.0007525017,0.0001856304],"domain_scores_gemma":[0.9977801,0.0001846666,0.0001839458,0.0007621316,0.0009383655,0.000150868],"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":[0.0006885769,0.0003101819,0.01490969,0.0007644029,0.0002297566,0.0004149948,0.001009111,0.009186189,0.0849824,0.006943896,0.4268184,0.4537424],"study_design_scores_gemma":[0.0002894663,0.0001509679,0.05002379,0.0002028549,0.0001102196,0.0006286385,0.0004095881,0.1489143,0.1056283,0.0257045,0.6675336,0.0004037812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01007046,0.0001617468,0.5288854,0.0003734239,0.0001940347,0.0007826119,0.06453302,0.3824068,0.0125925],"genre_scores_gemma":[0.07328614,0.0001874222,0.6589627,0.0005891009,0.000167399,0.001741552,0.1951381,0.05478838,0.01513924],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05451178,"threshold_uncertainty_score":0.1823601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07855636078275957,"score_gpt":0.3875370001788194,"score_spread":0.3089806393960598,"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."}}