{"id":"W6894400213","doi":"10.5683/sp3/qc4y9c","title":"Cultural Harvest Program","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Indigenous; Coping (psychology); Variety (cybernetics); Culturally appropriate; Mental health; Rural area","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001313208,0.0008027151,0.0006591377,0.0019109,0.00102348,0.001685509,0.002030217,0.0009831622,0.05494051],"category_scores_gemma":[0.005942539,0.0003544792,0.0007077574,0.002901912,0.0002789534,0.001086539,0.001685532,0.001433155,0.03431745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486777,"about_ca_system_score_gemma":0.002507676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0604131,"about_ca_topic_score_gemma":0.1104478,"domain_scores_codex":[0.9992349,0.0002004382,0.00008387448,0.0002025262,0.0001501022,0.000128149],"domain_scores_gemma":[0.9981085,0.0004330857,0.0001958533,0.0003228863,0.0007053172,0.0002343307],"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":[0.0001854216,0.00005652995,0.00353877,0.000545317,0.0000348651,0.00003744927,0.00008173248,0.0002227796,0.00008847389,0.001010139,0.9859028,0.008295793],"study_design_scores_gemma":[0.0002556352,0.00003354881,0.01138593,0.0003869899,0.00003710414,0.00007494155,0.0003887733,0.0004779641,0.0002179804,0.001138469,0.9855713,0.00003148416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005721545,0.00007268129,0.0001037737,0.0001542698,0.00003102929,0.0000597125,0.9963657,0.0001584843,0.002482172],"genre_scores_gemma":[0.001543198,0.00009634516,0.0006643224,0.0002028115,0.00001266573,0.000418914,0.9942872,0.00006901473,0.002705583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0604131,"threshold_uncertainty_score":0.1837943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863349082201603,"score_gpt":0.3301809512822093,"score_spread":0.3015474604601933,"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."}}