{"id":"W6948560512","doi":"10.5064/f6z31wj1/xonwbd","title":"Johnson_House41_JUSTHR_034ev.pdf","year":2023,"lang":"fr","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00259534,0.001777874,0.001071388,0.005225036,0.001534943,0.003773422,0.002716047,0.002066718,0.3816364],"category_scores_gemma":[0.01628568,0.001112338,0.001179832,0.008656387,0.0006112657,0.00175206,0.002791584,0.001613934,0.3047375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003177922,"about_ca_system_score_gemma":0.004802245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06538396,"about_ca_topic_score_gemma":0.1086632,"domain_scores_codex":[0.9982622,0.0003728869,0.000234887,0.000360192,0.000418402,0.0003514377],"domain_scores_gemma":[0.9912863,0.00347227,0.0005248922,0.001807333,0.002310368,0.0005988281],"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":[0.00001827683,0.00000741531,0.0001694516,0.000229591,0.000005284374,0.000005853592,0.00002188118,0.00005332093,0.00002595606,0.0003918913,0.9977884,0.001282624],"study_design_scores_gemma":[0.0001862998,0.00001265522,0.002089906,0.000361514,0.00001375106,0.00002166736,0.0001805835,0.0001848437,0.0002348732,0.001262104,0.9954222,0.00002963058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000372282,0.00001390405,0.00005294869,0.00007657301,0.00001612869,0.00001273848,0.9982548,0.000231789,0.001303829],"genre_scores_gemma":[0.0003490236,0.00004565888,0.0003455995,0.00008387324,0.000009419071,0.0002268027,0.995149,0.0001819257,0.003608851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6183636,"threshold_uncertainty_score":0.8820206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121672760997287,"score_gpt":0.3609029938154219,"score_spread":0.2487357177156932,"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."}}