{"id":"W6931605150","doi":"10.5281/zenodo.7131247","title":"caput","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Thompson Rivers University; University of British Columbia","funders":"","keywords":"Pipeline transport; Pipeline (software); Data processing; Computer virus; Metamorphic petrology","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":[],"category_scores_codex":[0.002743345,0.003121186,0.002057789,0.003897526,0.001981199,0.005451567,0.003990198,0.001098404,0.3441594],"category_scores_gemma":[0.008564746,0.001910916,0.002252375,0.00535027,0.0006638684,0.0042826,0.005216161,0.002260677,0.2916531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398974,"about_ca_system_score_gemma":0.00267422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008153552,"about_ca_topic_score_gemma":0.01151084,"domain_scores_codex":[0.9979886,0.0003536565,0.0001520393,0.000582126,0.0007010481,0.0002225118],"domain_scores_gemma":[0.9967749,0.0009595113,0.0001835541,0.00102695,0.0007454865,0.0003096408],"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":[0.000161898,0.00003002381,0.0007527882,0.0004162816,0.00005437709,0.00004425567,0.00008733624,0.0006420684,0.00068863,0.002632859,0.9671347,0.02735479],"study_design_scores_gemma":[0.0001963699,0.00003721706,0.002469636,0.0001830625,0.00005443045,0.0001786506,0.00007662861,0.006054502,0.004054941,0.01424557,0.9723566,0.00009231036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001402996,0.0007641082,0.04867572,0.0006062866,0.0005754012,0.0003835789,0.5736784,0.3218193,0.05209422],"genre_scores_gemma":[0.007953065,0.0005725442,0.05158101,0.001233491,0.0003136386,0.001374486,0.7992094,0.1025819,0.03518057],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6558406,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381565148302887,"score_gpt":0.2633144313795218,"score_spread":0.2251579165492331,"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."}}