{"id":"W7116733306","doi":"10.5281/zenodo.18001612","title":"Application of Data Science to Paramedic Data","year":2022,"lang":"en","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Variety (cybernetics); Opioid overdose; Key (lock); Point (geometry); Work (physics); Data type","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":[0.07455719,0.000962346,0.00121107,0.01100708,0.00285689,0.01270902,0.003552084,0.002434393,0.006027151],"category_scores_gemma":[0.3169813,0.001212495,0.002682992,0.02205816,0.004485305,0.0129346,0.008524358,0.006923797,0.00186372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007250987,"about_ca_system_score_gemma":0.01177578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289058,"about_ca_topic_score_gemma":0.009418785,"domain_scores_codex":[0.9111152,0.05430197,0.009902654,0.007105658,0.01672799,0.0008466514],"domain_scores_gemma":[0.4600172,0.4168471,0.0183535,0.06756473,0.03404878,0.003168703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000630723,0.0005896574,0.1116475,0.008944036,0.001665402,0.0008274154,0.006458068,0.04858961,0.002042446,0.3206306,0.08267558,0.4152991],"study_design_scores_gemma":[0.0002172618,0.0003663066,0.02887201,0.004823423,0.0003018022,0.0006468486,0.006764576,0.1087651,0.004349086,0.4363713,0.4082042,0.0003180506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03757036,0.006692549,0.7625368,0.05911109,0.002172552,0.003871046,0.09929159,0.006721403,0.02203274],"genre_scores_gemma":[0.2025428,0.00352175,0.7356097,0.005310619,0.0009507342,0.002246736,0.04724185,0.0008720667,0.001703611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07455719,"threshold_uncertainty_score":0.3943008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0696969721078553,"score_gpt":0.3539590071372651,"score_spread":0.2842620350294098,"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."}}