{"id":"W6939085560","doi":"10.60692/pt38j-n1g12","title":"ALMA-IMF","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Herzberg Institute of Astrophysics","funders":"","keywords":"Observatory; Calibration; Weighting; Image formation; Image processing; Noise (video); Cloud computing; Measure (data warehouse)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002718059,0.0008981122,0.0008733706,0.002852552,0.001057067,0.002760799,0.002442564,0.001013859,0.06814511],"category_scores_gemma":[0.004849366,0.0005014445,0.0006826564,0.002719944,0.0003699085,0.002679905,0.002391392,0.001587512,0.05609944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071726,"about_ca_system_score_gemma":0.001479181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096951,"about_ca_topic_score_gemma":0.01187919,"domain_scores_codex":[0.9985691,0.000169606,0.00005722138,0.0002794657,0.0007032718,0.0002212301],"domain_scores_gemma":[0.9963183,0.0004146967,0.0003160853,0.001249179,0.001257691,0.0004440045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001269949,0.0002308897,0.01267284,0.0002299207,0.0001011727,0.00017308,0.0002242457,0.001757007,0.003521767,0.005018484,0.8755357,0.0992649],"study_design_scores_gemma":[0.0002846865,0.0001132912,0.01762714,0.00007094922,0.00003961865,0.0001504454,0.00007361843,0.008309686,0.004202308,0.003790582,0.9652823,0.00005539021],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03328051,0.0008592342,0.04004874,0.001951698,0.0007992371,0.0008335134,0.6568408,0.1184388,0.1469474],"genre_scores_gemma":[0.04617487,0.0002765927,0.06375293,0.0007282725,0.0004154801,0.0008037223,0.8399976,0.01368818,0.03416229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06814511,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848634012268841,"score_gpt":0.1973401514937047,"score_spread":0.1788538113710163,"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."}}