{"id":"W4398606748","doi":"10.7910/dvn/pkjufn/achgmq","title":"FCC2002.269.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; Computer science; Geography; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004312284,0.0009732241,0.00100572,0.00025766,0.0001964176,0.0002982654,0.002654284,0.0006305264,0.2700584],"category_scores_gemma":[0.001412386,0.001035305,0.0003361882,0.0006690753,0.0002602949,0.000601676,0.00166306,0.001452523,0.994579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003085909,"about_ca_system_score_gemma":0.0003253417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003958673,"about_ca_topic_score_gemma":0.0003143214,"domain_scores_codex":[0.9950678,0.0002832955,0.0007213833,0.00147967,0.001518949,0.0009288543],"domain_scores_gemma":[0.99445,0.0001569067,0.0005346349,0.004028369,0.0001045799,0.0007255098],"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":[0.0002015321,0.0001478402,0.000001824904,0.0002563872,0.0002585072,0.001313121,0.00002440861,0.000003722012,0.0001129765,0.00001524394,0.9975349,0.0001294859],"study_design_scores_gemma":[0.001041156,0.00008212713,0.00001233672,0.0001294595,0.000605094,0.00005857777,0.00005711295,0.00002459007,0.00004533058,0.00001004905,0.9968538,0.001080331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001603142,7.147437e-7,0.000008310127,0.000007203652,0.001164863,0.0006143519,0.9967585,0.0004603344,0.0009841863],"genre_scores_gemma":[0.000002375991,0.0001774447,0.0003916358,0.001354325,0.001232733,0.00006077304,0.9961171,0.0002584172,0.000405247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7245206,"threshold_uncertainty_score":0.9992097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}