{"id":"W4310220193","doi":"10.1088/1538-3873/ac9e74","title":"APERO: A PipelinE to Reduce Observations—Demonstration with SPIRou","year":2022,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of the Pacific","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Pipeline (software); Environmental science; Astrobiology; Computer science; Physics; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001984448,0.001026409,0.0006844202,0.0009407619,0.0006835981,0.001141396,0.001411029,0.0006141787,0.009957099],"category_scores_gemma":[0.004068155,0.0005978685,0.001043177,0.000879548,0.0004222444,0.001232291,0.002367392,0.001164716,0.008763931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512731,"about_ca_system_score_gemma":0.00159756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007528339,"about_ca_topic_score_gemma":0.006876782,"domain_scores_codex":[0.9988695,0.0001824078,0.00005982614,0.0002492447,0.0005109908,0.0001281556],"domain_scores_gemma":[0.9986618,0.0002415343,0.00007015354,0.0005042716,0.0003757041,0.0001465452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002003669,0.000755554,0.02268482,0.0005076973,0.0004513938,0.001064717,0.001188149,0.01658534,0.08450491,0.00713721,0.2731623,0.5899542],"study_design_scores_gemma":[0.0009983921,0.0005512118,0.03543805,0.0001321171,0.0001420282,0.0006059783,0.0006187487,0.4870214,0.1180238,0.01355309,0.3425954,0.000319944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0858556,0.0003445816,0.5467794,0.001425897,0.0005991547,0.0007682605,0.01653935,0.3349736,0.01271427],"genre_scores_gemma":[0.204112,0.0002701609,0.7231777,0.0007986092,0.0002556358,0.0009114987,0.03923581,0.0195615,0.01167695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009957099,"threshold_uncertainty_score":0.03330982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850647721199645,"score_gpt":0.2041909125492785,"score_spread":0.185684435337282,"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."}}