{"id":"W4393539181","doi":"10.5281/zenodo.6542382","title":"CCG Starter Data Kit: Philippines","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Health and Epidemiology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Starter; Biology; Food science","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":[0.00157516,0.002608311,0.001544344,0.006353008,0.0008297497,0.002104918,0.002593963,0.001758847,0.1676532],"category_scores_gemma":[0.008870081,0.001188585,0.001320117,0.01124571,0.0005103153,0.001565026,0.002274427,0.002052727,0.1993984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657922,"about_ca_system_score_gemma":0.003836308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06179954,"about_ca_topic_score_gemma":0.07835783,"domain_scores_codex":[0.998925,0.0002325646,0.0001171105,0.0002435888,0.0002762614,0.0002054608],"domain_scores_gemma":[0.9947603,0.001019585,0.0005477963,0.001233204,0.001678078,0.0007610789],"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":[0.00003965761,0.00001191689,0.0004084689,0.0002321034,0.00001680005,0.00001201608,0.00001692841,0.0002031286,0.0000454953,0.0001267593,0.9975564,0.00133036],"study_design_scores_gemma":[0.0003577736,0.00002510719,0.005284563,0.0003038922,0.00004342247,0.00005078509,0.0001190248,0.0008008665,0.0004411787,0.0009706441,0.9915467,0.00005599423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007857381,0.0000272899,0.00004724215,0.00003996673,0.00001151508,0.0000117651,0.9988555,0.000518097,0.0004100447],"genre_scores_gemma":[0.0003478502,0.00004647358,0.0002751244,0.00005473628,0.000007740028,0.0001239459,0.9976652,0.0003638513,0.001115159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1676532,"threshold_uncertainty_score":0.5608557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2424729935410675,"score_gpt":0.438538694237417,"score_spread":0.1960657006963495,"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."}}