{"id":"W6977252900","doi":"10.6084/m9.figshare.c.7724630","title":"Untitled Collection","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Storytelling; Unemployment; Formative assessment; Metis; Data collection","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01547048,0.001560847,0.002305115,0.007173954,0.003289482,0.009026117,0.003629657,0.003388334,0.7276719],"category_scores_gemma":[0.1587419,0.001138448,0.002922085,0.009873635,0.001783508,0.003166401,0.008323962,0.003532731,0.4492862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004581647,"about_ca_system_score_gemma":0.01926461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439976,"about_ca_topic_score_gemma":0.03366431,"domain_scores_codex":[0.9835191,0.00457403,0.003190568,0.002137889,0.005450681,0.001127695],"domain_scores_gemma":[0.872233,0.04474523,0.004676984,0.02918645,0.04538814,0.003770298],"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":[0.00009104259,0.00001654026,0.0001119074,0.0009903917,0.00001694311,0.00001435109,0.00005594142,0.00006106548,0.00004225085,0.0007564869,0.9884835,0.009359562],"study_design_scores_gemma":[0.0002648146,0.0000222795,0.0007179786,0.001408106,0.00002433481,0.0000168753,0.00009611597,0.00009392052,0.0001432528,0.002052187,0.9951302,0.00002998312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001260472,0.0001523958,0.001085175,0.001155906,0.001643473,0.001140558,0.9733951,0.001291656,0.02000973],"genre_scores_gemma":[0.003005011,0.0006029714,0.00926695,0.003664332,0.0007504207,0.01956053,0.8640863,0.003761265,0.09530231],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2723281,"threshold_uncertainty_score":0.3884429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07291191498984348,"score_gpt":0.3926121818636502,"score_spread":0.3197002668738067,"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."}}