{"id":"W6961106392","doi":"10.14288/1.0431055","title":"Low-barrier Employment","year":2023,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Unemployment; Join (topology); Social research; Full employment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150431,0.0001956491,0.0003923656,0.0004714979,0.004599253,0.003373805,0.0005351882,0.0009529891,0.02001395],"category_scores_gemma":[0.003891518,0.0001906224,0.0002694563,0.0006326658,0.001335792,0.001297551,0.00355946,0.002008059,0.002403474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445626,"about_ca_system_score_gemma":0.004758805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1105791,"about_ca_topic_score_gemma":0.308313,"domain_scores_codex":[0.9990059,0.0002587105,0.00004119688,0.00007896321,0.0002126968,0.0004025807],"domain_scores_gemma":[0.9981644,0.0003576497,0.0001346708,0.00006729151,0.0003009283,0.0009751501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000183849,0.0002327845,0.0694747,0.001994867,0.00006408793,0.001282467,0.03863961,0.00008514873,0.001044409,0.01870434,0.4251237,0.44317],"study_design_scores_gemma":[0.00002559525,0.0001487837,0.1202661,0.003688341,0.00005567903,0.0009529766,0.08662718,0.00009787513,0.0003893878,0.007346213,0.7803436,0.00005820584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3259898,0.06322061,0.003095223,0.248941,0.01182798,0.0001913715,0.003009544,0.0002357165,0.3434888],"genre_scores_gemma":[0.8148161,0.0364491,0.00185903,0.04344715,0.001669519,0.0002280738,0.001095313,0.0001778283,0.1002579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1105791,"threshold_uncertainty_score":0.219871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244848452398685,"score_gpt":0.1730119522183401,"score_spread":0.1605634676943533,"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."}}