{"id":"W2894217661","doi":"10.1051/0004-6361/201832725","title":"Characterizing the properties of nearby molecular filaments observed with<i>Herschel</i>","year":2018,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Crystallography and molecular interactions","field":"Chemistry","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Key Programme; KU Leuven; Max-Planck-Institut für Astronomie; Japan Society for the Promotion of Science; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Protein filament; Spurious relationship; Molecular cloud; Sample (material); Column (typography); Statistical analysis; Spatial distribution; Tracing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002182262,0.0001274821,0.000118152,0.00001351297,0.000139143,0.0000425951,0.0001213228,0.00002646562,0.0000464712],"category_scores_gemma":[0.000002703928,0.00008814617,0.00006756002,0.00006880429,0.0002671946,0.0001098804,0.00005766601,0.0001280119,0.000002474392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006240318,"about_ca_system_score_gemma":0.00002304239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003064228,"about_ca_topic_score_gemma":0.000002400083,"domain_scores_codex":[0.9994322,0.0000122708,0.000127472,0.0001612177,0.00009488025,0.0001719382],"domain_scores_gemma":[0.9995562,0.000007618631,0.0001019595,0.0002319896,0.00006164737,0.00004056437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006511919,0.0000500034,0.0004557038,0.00001924419,0.0001146982,0.000001183474,0.0002346311,0.000005049339,0.9829642,0.000150985,0.000006901363,0.01593232],"study_design_scores_gemma":[0.0002900835,0.0001080222,0.0004174015,0.0001089899,0.00005693222,0.000004531165,0.0008999053,0.00002558578,0.9655034,0.00001502818,0.03245675,0.000113358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874325,0.00005082975,0.01120835,0.00008584097,0.00002650096,0.00005858657,0.00001657327,0.00001803439,0.001102734],"genre_scores_gemma":[0.9953408,0.000002223717,0.004415426,0.00005107507,0.00008864034,0.00001775364,0.00001426863,0.00001456827,0.00005524169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03244985,"threshold_uncertainty_score":0.3594497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334126879397845,"score_gpt":0.194762435192091,"score_spread":0.1814211663981125,"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."}}