{"id":"W2048752668","doi":"10.1088/0004-637x/756/2/119","title":"CONNECTING THE DOTS: ANALYZING SYNTHETIC OBSERVATIONS OF STAR-FORMING CLUMPS IN MOLECULAR CLOUDS","year":2012,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Molecular cloud; Measure (data warehouse); Line (geometry); Star formation; Data cube; Cube (algebra); Column (typography); Projection (relational algebra)","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":[0.0007856917,0.0003431371,0.000290307,0.000714304,0.0002969081,0.0005579375,0.0007464457,0.0005696347,0.0002912584],"category_scores_gemma":[0.004971762,0.0002392193,0.0004833535,0.0005811445,0.0004730052,0.0005476833,0.0005365576,0.0003441105,0.00006442623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000558241,"about_ca_system_score_gemma":0.000254811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00582932,"about_ca_topic_score_gemma":0.004730784,"domain_scores_codex":[0.9997295,0.00007392619,0.00001485078,0.00007873786,0.00006128842,0.00004166443],"domain_scores_gemma":[0.997566,0.001291538,0.0004375775,0.0003291049,0.0002094619,0.0001663994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003560088,0.0002145922,0.2127046,0.00006346146,0.0001706797,0.0003843269,0.0002414568,0.7606384,0.01448195,0.001262104,0.0003380758,0.009144426],"study_design_scores_gemma":[0.00002780707,0.00007476016,0.04209529,0.000004794166,0.00001422035,0.00007511032,0.00007943709,0.9518627,0.004642139,0.0008900703,0.0002176937,0.00001601175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963037,0.0000391526,0.003288686,0.00002419169,0.000004477864,0.00001158665,0.0001726512,0.00006469976,0.00009079175],"genre_scores_gemma":[0.995462,0.00001672989,0.003902934,0.00001295632,0.000004679723,0.000008027643,0.0005449367,0.00001418392,0.00003357616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00582932,"threshold_uncertainty_score":0.01159078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025857175198204,"score_gpt":0.2554324586588365,"score_spread":0.2351738869068544,"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."}}