{"id":"W4394460065","doi":"10.6084/m9.figshare.14531631","title":"BetterHomesTO, research instruments, codes, and final report","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002386554,0.0001840688,0.0003357559,0.0001598027,0.0007722786,0.000347502,0.0004393006,0.000391898,0.284103],"category_scores_gemma":[0.01733177,0.0001823477,0.00007399032,0.0003772012,0.0001430421,0.0001243613,0.0004468266,0.0008951846,0.001178044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391016,"about_ca_system_score_gemma":0.001003219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004782578,"about_ca_topic_score_gemma":0.002574016,"domain_scores_codex":[0.9953723,0.002156432,0.000295152,0.0005686797,0.001101045,0.0005063977],"domain_scores_gemma":[0.9976291,0.001063668,0.0001719332,0.0004753536,0.0004350425,0.0002248926],"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":[0.000003322487,0.000024495,0.000003760284,0.0001856659,0.00002090384,0.0006768419,0.0006064438,6.658028e-9,2.824124e-7,0.00006297303,0.9934547,0.004960603],"study_design_scores_gemma":[0.0000893809,0.00004392161,0.00007432566,0.001175852,0.00000819481,0.00003025715,0.001034288,1.178583e-7,0.000004597993,0.0007841138,0.996543,0.0002119219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001716062,0.001088447,9.517943e-8,0.0007542855,0.0001594524,0.0002648315,0.9928454,0.00002044656,0.004849889],"genre_scores_gemma":[0.000002344325,0.0001417185,0.0004018083,0.0002742059,0.000585804,0.0001837847,0.9933194,0.00001323879,0.005077684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2829249,"threshold_uncertainty_score":0.9995996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4457454766534172,"score_gpt":0.5411468670882027,"score_spread":0.09540139043478546,"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."}}