{"id":"W7030109979","doi":"","title":"From Macro to Micro: A Summary of Dr. Angel Lin’s Research over Time","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Social and Cultural Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scholarship; Field (mathematics); Macro; Work (physics); Social research","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":[0.01561321,0.0004474564,0.0005379771,0.004961831,0.007940671,0.01028311,0.001228573,0.001719457,0.004170931],"category_scores_gemma":[0.02527411,0.000392354,0.0004427156,0.009497624,0.005922677,0.01051538,0.005618542,0.007568697,0.001512894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01082869,"about_ca_system_score_gemma":0.01345277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515316,"about_ca_topic_score_gemma":0.03600081,"domain_scores_codex":[0.993548,0.00331778,0.0004143575,0.0006810509,0.001286938,0.0007518878],"domain_scores_gemma":[0.9789653,0.01068925,0.001243297,0.0007404138,0.00476938,0.00359225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001092426,0.000092259,0.01626071,0.001832838,0.00004280184,0.001936599,0.3627585,0.0001848229,0.0007632796,0.0801795,0.1958707,0.3399687],"study_design_scores_gemma":[0.00000460188,0.0000632552,0.01325539,0.002707317,0.00001756244,0.001251094,0.1638319,0.00009423666,0.0003552485,0.008961725,0.8093968,0.00006081684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.06178506,0.2597834,0.007216794,0.6028407,0.01257673,0.0001351117,0.0008293905,0.0002152978,0.05461752],"genre_scores_gemma":[0.4877414,0.3560252,0.01275316,0.08550284,0.01207745,0.0006411287,0.001117323,0.0006057246,0.0435359],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01561321,"threshold_uncertainty_score":0.08257157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3542456138934006,"score_gpt":0.6324642983771213,"score_spread":0.2782186844837207,"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."}}