{"id":"W6912163412","doi":"10.5281/zenodo.15040694","title":"ResearchBox 3256, 'Antibiotic Messaging Study', https://researchbox.org/3256","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Backup; The Internet; Key (lock); Instant messaging","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":[0.00612972,0.0007434612,0.001321522,0.002482473,0.001684877,0.003142725,0.001439003,0.002380519,0.805177],"category_scores_gemma":[0.04169977,0.0006268436,0.0007988293,0.003322017,0.0005678191,0.00341055,0.002346936,0.001450934,0.6101525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192582,"about_ca_system_score_gemma":0.00343177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00326184,"about_ca_topic_score_gemma":0.006183706,"domain_scores_codex":[0.9973917,0.0008745483,0.0002348194,0.0003007565,0.0009799962,0.0002181867],"domain_scores_gemma":[0.9702687,0.01484639,0.001516977,0.004341876,0.00581422,0.003211939],"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":[0.0002226864,0.00008075194,0.0001931087,0.0005376567,0.000004151554,0.000009121985,0.00006842983,0.00001347418,0.00008228607,0.0003783122,0.9787663,0.01964381],"study_design_scores_gemma":[0.0008060082,0.000281406,0.004240429,0.000705014,0.00003000432,0.00004478364,0.0002633421,0.00008949729,0.0007312903,0.0018164,0.9909587,0.00003323964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003177596,0.001465781,0.003224151,0.008726076,0.004083296,0.003601924,0.5997886,0.01842908,0.3575035],"genre_scores_gemma":[0.03489784,0.002464466,0.01196089,0.01081714,0.002493664,0.02396748,0.2124701,0.02389291,0.6770356],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.805177,"threshold_uncertainty_score":0.2778913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06534981385338387,"score_gpt":0.3241635137313891,"score_spread":0.2588136998780053,"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."}}