{"id":"W6987231941","doi":"","title":"SISTERS IN A JAPANESE PROFESSIONAL COMMUNITY: UNCOVERING FACTORS FOSTERING PARTICIPATION","year":2021,"lang":"en","type":"other","venue":"TUScholarShare (Temple University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Context (archaeology); Pretext; Work (physics); Wage","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004361777,0.0006268976,0.000730773,0.00268984,0.0004063629,0.0001346751,0.0009013231,0.000576306,0.005769667],"category_scores_gemma":[0.0002913599,0.0007660777,0.0002236209,0.002122688,0.00009641537,0.000617741,0.001637169,0.001918048,0.0003345108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255674,"about_ca_system_score_gemma":0.0002944137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618144,"about_ca_topic_score_gemma":0.01721301,"domain_scores_codex":[0.9961738,0.001524721,0.0003496745,0.0006382006,0.000579334,0.0007342784],"domain_scores_gemma":[0.9979356,0.0002300461,0.0004560553,0.0009908964,0.0001174587,0.0002699313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002473427,0.007659669,0.6113142,0.01390417,0.003998687,0.00894657,0.09827255,0.001515629,0.05736858,0.00166272,0.1869009,0.005982869],"study_design_scores_gemma":[0.002968651,0.0001102695,0.04471469,0.007412379,0.0001908135,0.000009451423,0.02084082,0.00003135705,0.0002970885,0.00001874032,0.9216183,0.00178741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.668611,0.0001989563,0.000004573936,0.00001397087,0.0005054166,0.000714177,0.001189406,0.0005531079,0.3282093],"genre_scores_gemma":[0.4358963,0.00002034119,0.0001494892,0.00005790813,0.00008746557,0.000008811704,0.004411311,0.001031032,0.5583373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7347174,"threshold_uncertainty_score":0.999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143727487544017,"score_gpt":0.3105534808096408,"score_spread":0.1961807320552391,"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."}}