{"id":"W6931535346","doi":"10.5281/zenodo.7343270","title":"Adventures with SPIRou: The APERO pipeline and LBL RV analysis tool","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Pipeline (software); Outlier; Data reduction; Line (geometry); Component (thermodynamics); Reduction (mathematics)","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":[0.002868499,0.002278952,0.001430709,0.002637094,0.0008581178,0.003653584,0.003015815,0.001176146,0.04370892],"category_scores_gemma":[0.007316123,0.001543773,0.0023852,0.001532068,0.0006417934,0.002825379,0.003526397,0.002841081,0.04191548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117843,"about_ca_system_score_gemma":0.001717303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994699,"about_ca_topic_score_gemma":0.003062151,"domain_scores_codex":[0.9986033,0.0002046384,0.0001320276,0.0003875167,0.000508929,0.0001636509],"domain_scores_gemma":[0.9982324,0.0005052161,0.0001845971,0.0005461675,0.0003936483,0.0001380362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001084813,0.0002278177,0.007241188,0.001331526,0.0005130358,0.000687184,0.0008515787,0.005815562,0.02514713,0.01579712,0.6893077,0.2519953],"study_design_scores_gemma":[0.0005291798,0.0001636863,0.00915902,0.0003018811,0.0001561547,0.0006183397,0.0002843341,0.1216665,0.04165957,0.03966735,0.7853351,0.0004588529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.002007269,0.0002659436,0.2827794,0.000258243,0.0001393651,0.0001891169,0.01776464,0.69175,0.004845997],"genre_scores_gemma":[0.04273139,0.0005255026,0.5858452,0.0009251682,0.0002692503,0.001363273,0.103943,0.2507896,0.01360751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04370892,"threshold_uncertainty_score":0.1462209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123391874185003,"score_gpt":0.2120180580571584,"score_spread":0.1996788706386581,"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."}}