{"id":"W4398497136","doi":"10.7910/dvn/pkjufn/wmirth","title":"FCC2003.337.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Environmental science; Computer science; Computer network","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":[0.001416526,0.003188776,0.001816239,0.004924062,0.001152567,0.003878623,0.004178604,0.003094875,0.1853706],"category_scores_gemma":[0.008315247,0.0009863235,0.001589086,0.008419185,0.0006861564,0.002220585,0.002520512,0.00201475,0.2570883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100522,"about_ca_system_score_gemma":0.002599978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04412684,"about_ca_topic_score_gemma":0.06527958,"domain_scores_codex":[0.9987115,0.0002677764,0.0001181559,0.0003872151,0.0002529328,0.0002625812],"domain_scores_gemma":[0.9968942,0.0007271469,0.0002448668,0.0009331908,0.0008234344,0.0003771991],"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":[0.00002806011,0.000007513977,0.0001392205,0.0002215437,0.00001266314,0.000005628503,0.000007486703,0.0001172097,0.00002958491,0.0002342866,0.9985272,0.0006695388],"study_design_scores_gemma":[0.0002802635,0.0000217609,0.00158586,0.0002907775,0.00002713218,0.0000340347,0.00006262362,0.0005472978,0.0002680416,0.00151412,0.9953358,0.0000323793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004690308,0.00004580403,0.0000314558,0.00006668128,0.00002745831,0.000004687855,0.9985926,0.0004681288,0.0007162552],"genre_scores_gemma":[0.0002386815,0.00003766868,0.0001111018,0.0000574347,0.00001064657,0.00002916951,0.9986993,0.0001405684,0.0006753487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8146294,"threshold_uncertainty_score":0.6201263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}