{"id":"W4398460001","doi":"10.7910/dvn/fmk6sq/mxi4ck","title":"46.tif","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002153487,0.005769766,0.00248178,0.009378514,0.001440896,0.006027922,0.004103907,0.004464958,0.3069917],"category_scores_gemma":[0.01442289,0.001311276,0.003324781,0.01179299,0.001137633,0.003221296,0.00375032,0.002902958,0.3997945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413229,"about_ca_system_score_gemma":0.004753673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04607131,"about_ca_topic_score_gemma":0.06808178,"domain_scores_codex":[0.9979669,0.0004162095,0.0001953574,0.0005468738,0.0004159285,0.0004586938],"domain_scores_gemma":[0.995524,0.001111041,0.0003228439,0.001314745,0.001079627,0.0006477865],"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":[0.00003070201,0.00001069981,0.0001632729,0.0003745909,0.00002041161,0.000006862157,0.00001311634,0.0001117663,0.00003828476,0.0001737875,0.9981778,0.0008788563],"study_design_scores_gemma":[0.0004620012,0.00003941008,0.001839105,0.0007101578,0.00005783042,0.00004617838,0.0001273886,0.0004942337,0.0002724466,0.001850942,0.9940403,0.00005998543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004760509,0.00008348805,0.0000311331,0.0001082378,0.00007513813,0.000007438618,0.9984469,0.0005513938,0.0006486383],"genre_scores_gemma":[0.0002301046,0.00009232823,0.0001501449,0.00009901604,0.00001845591,0.00004470555,0.998076,0.0002397076,0.001049515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6930083,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250973866008562,"score_gpt":0.2552945156282744,"score_spread":0.2301971290274182,"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."}}