{"id":"W4416597369","doi":"10.5256/f1000research.12496.d178727","title":"Dataset 1","year":2017,"lang":"it","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Department for International Development; Department for International Development, UK Government","keywords":"","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":[0.001116148,0.003670097,0.001463086,0.005942407,0.001252351,0.002515891,0.002964059,0.00316103,0.07885887],"category_scores_gemma":[0.009929755,0.000602936,0.001798622,0.008160497,0.0006975882,0.001747295,0.001684451,0.002371524,0.121154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821445,"about_ca_system_score_gemma":0.004315368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02258612,"about_ca_topic_score_gemma":0.05135619,"domain_scores_codex":[0.9981564,0.0004243505,0.0001806948,0.0005440637,0.0004198457,0.000274701],"domain_scores_gemma":[0.9958779,0.001279972,0.0003313756,0.0009983673,0.000993265,0.0005190911],"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":[0.0001025662,0.00005934126,0.0007818198,0.0003817687,0.0000344028,0.00002755004,0.0000154258,0.0004314431,0.00009401377,0.0003123773,0.9945226,0.003236699],"study_design_scores_gemma":[0.0005949357,0.0001033327,0.005326341,0.0004587208,0.0000960292,0.0001692447,0.0002050482,0.002220716,0.0005713949,0.002229076,0.987969,0.00005611877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001058252,0.0003737438,0.0001903942,0.0002775723,0.0001310506,0.00005497411,0.9941123,0.0007796058,0.003022124],"genre_scores_gemma":[0.0008744647,0.00009425535,0.0003198055,0.00008445056,0.00002231963,0.0000929074,0.9970316,0.00005657082,0.001423658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9211411,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415695157984592,"score_gpt":0.4683021958535886,"score_spread":0.3267326800551294,"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."}}