{"id":"W3033694787","doi":"10.1093/mnrasl/slaa121","title":"Detecting isolated stellar-mass black holes in the absence of microlensing parallax effect","year":2020,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society Letters","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Gravitational microlensing; Physics; Parallax; Astrophysics; Astronomy; Population; Stars","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":[0.0004940044,0.0001797856,0.0002221589,0.001250515,0.0002688604,0.0007483356,0.000277983,0.0003929783,0.002891491],"category_scores_gemma":[0.002046113,0.00009195644,0.00009900553,0.0004408821,0.0003468101,0.0004932875,0.0006566519,0.0002017017,0.0004315305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981815,"about_ca_system_score_gemma":0.0000821443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005441625,"about_ca_topic_score_gemma":0.001149511,"domain_scores_codex":[0.9997397,0.00003703396,0.00001547372,0.00008689459,0.00005876823,0.0000621104],"domain_scores_gemma":[0.9976686,0.0008172466,0.000765722,0.000133895,0.0001872476,0.0004273356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008442177,0.00005574839,0.8815982,0.00009051249,0.00007475378,0.001284987,0.0001504247,0.0003235712,0.08566452,0.000718946,0.0006443076,0.02854977],"study_design_scores_gemma":[0.00002986839,0.0001584662,0.9747441,0.00001319794,0.00004334823,0.001795685,0.0001879592,0.003450268,0.01772078,0.0009279166,0.0009136735,0.00001474532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926368,0.0002954796,0.001992087,0.00008309631,0.00001572492,0.00001119656,0.00023662,0.00007854828,0.004650416],"genre_scores_gemma":[0.9991958,0.00001983346,0.0005181833,0.00002647236,0.000009442666,0.000001595795,0.0000844101,0.000003048861,0.0001412999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002891491,"threshold_uncertainty_score":0.00967294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008977454797175636,"score_gpt":0.2450151292718091,"score_spread":0.2360376744746335,"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."}}