{"id":"W6929790159","doi":"10.5064/f6z31wj1/03gn3f","title":"Johnson_House41_JUSTHR_035ev.pdf","year":2023,"lang":"fr","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","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":[],"consensus_categories":[],"category_scores_codex":[0.002093574,0.001491494,0.0009458055,0.004256514,0.001042784,0.003117089,0.002361518,0.001470685,0.2452188],"category_scores_gemma":[0.01023271,0.0009717792,0.001037291,0.007843771,0.0004628444,0.001368862,0.002235539,0.001284741,0.2099551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002465625,"about_ca_system_score_gemma":0.003650665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04932033,"about_ca_topic_score_gemma":0.08997808,"domain_scores_codex":[0.9986052,0.0002786162,0.0001623783,0.000330311,0.0003428635,0.0002806408],"domain_scores_gemma":[0.9946057,0.001826527,0.0004666913,0.00119031,0.001361846,0.0005489599],"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":[0.00002728036,0.000009160688,0.0004201521,0.0002362359,0.00001061851,0.000005495414,0.00001793336,0.0000670311,0.00003181969,0.0003451803,0.9974195,0.00140963],"study_design_scores_gemma":[0.0002227173,0.00001516978,0.004206403,0.0002775385,0.00002111493,0.00002326664,0.0001292503,0.000212921,0.0003030729,0.0008840653,0.9936759,0.00002862976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004486039,0.00001402608,0.0000300821,0.00005080624,0.000008807121,0.000006089104,0.9988056,0.0001885642,0.0008511702],"genre_scores_gemma":[0.0004046602,0.00003934441,0.0001969973,0.00006612712,0.000007011582,0.0000892789,0.9968259,0.000127074,0.002243565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2452188,"threshold_uncertainty_score":0.8203387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07592951784002515,"score_gpt":0.3483981494237654,"score_spread":0.2724686315837402,"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."}}