{"id":"W6999012082","doi":"","title":"Calling all Grad students","year":2020,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Dalhousie University; Université de Montréal; University of Alberta; Queen's University; McMaster University; University of Ottawa; University of Windsor; University of Regina","keywords":"Graduate students; Job hunting; The Internet; Data collection; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001238258,0.001102869,0.0009070958,0.001312985,0.002945103,0.003609721,0.001356391,0.003043824,0.6644566],"category_scores_gemma":[0.002606501,0.0005767857,0.0007469456,0.0007602409,0.0005710867,0.002091918,0.006250662,0.002797139,0.5395634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008483714,"about_ca_system_score_gemma":0.002947147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782425,"about_ca_topic_score_gemma":0.01157459,"domain_scores_codex":[0.9990203,0.0001078625,0.00004520405,0.0001550854,0.0002294951,0.0004419994],"domain_scores_gemma":[0.9944757,0.0001065253,0.00009342231,0.000263796,0.0007418365,0.004318666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003554744,0.0001093638,0.0006945555,0.00003827606,0.000001189667,0.00008096181,0.0001082632,0.000009761777,0.0002757338,0.0003303217,0.9532579,0.04505816],"study_design_scores_gemma":[0.00002032266,0.00006190002,0.002276786,0.00006138903,0.000002217818,0.00007727356,0.001055428,0.00002669863,0.0001047522,0.0004619333,0.9958402,0.0000111028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01983026,0.002477586,0.00362269,0.06998068,0.04719087,0.002266598,0.01272481,0.009426674,0.8324798],"genre_scores_gemma":[0.004937898,0.0005500898,0.0009543283,0.0137935,0.002218181,0.0004874686,0.002053233,0.0006122896,0.974393],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6644566,"threshold_uncertainty_score":0.4786119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04230430996915995,"score_gpt":0.2951768929451958,"score_spread":0.2528725829760358,"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."}}