{"id":"W4398441590","doi":"10.7910/dvn/n4risx/rdxvj6","title":"Modified F75_Readme.txt","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Mathematics; Statistics","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":["insufficient_payload"],"category_scores_codex":[0.001836456,0.00394753,0.002255342,0.005203154,0.001684333,0.00470721,0.004340766,0.003035955,0.4342518],"category_scores_gemma":[0.01305768,0.00143246,0.002217675,0.006885923,0.0008481066,0.003398626,0.003804279,0.002534116,0.4768979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609907,"about_ca_system_score_gemma":0.002693595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994597,"about_ca_topic_score_gemma":0.03613796,"domain_scores_codex":[0.9982799,0.000283472,0.0001657434,0.0006146269,0.0002950196,0.0003612067],"domain_scores_gemma":[0.9940199,0.001997553,0.0003021615,0.001602412,0.001599917,0.0004780841],"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":[0.00003623586,0.000009636449,0.0001659493,0.0002675951,0.0000140012,0.000007921536,0.00001684515,0.00006191688,0.00007863808,0.0001547397,0.9982787,0.0009077605],"study_design_scores_gemma":[0.0002281421,0.00002272383,0.001862441,0.0001966937,0.00002932784,0.00003815624,0.00007908826,0.0002088927,0.0006126367,0.001677431,0.9949945,0.00004980372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000476347,0.00002415324,0.00008472689,0.00005561763,0.00005090675,0.00001053898,0.997832,0.001115792,0.0007787533],"genre_scores_gemma":[0.0002489271,0.00002323317,0.0003243183,0.00007858974,0.00002113597,0.00009013366,0.9967512,0.0008265784,0.001635918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5657482,"threshold_uncertainty_score":0.8069712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819727606914681,"score_gpt":0.2737157621527801,"score_spread":0.2355184860836333,"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."}}