{"id":"W4398438248","doi":"10.7910/dvn/pkjufn/qhytc7","title":"FCC2001.246.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001442082,0.003228087,0.001849853,0.004968024,0.001220862,0.003937804,0.004318389,0.003193738,0.1610307],"category_scores_gemma":[0.00838818,0.0009471343,0.001586874,0.008221284,0.000705,0.002394028,0.00250974,0.002096045,0.2318967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208895,"about_ca_system_score_gemma":0.002683862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04388203,"about_ca_topic_score_gemma":0.06874005,"domain_scores_codex":[0.9986485,0.0002872956,0.0001259123,0.0004080045,0.0002633957,0.0002668167],"domain_scores_gemma":[0.9969356,0.0007200128,0.0002386939,0.0009160332,0.0008392096,0.0003505147],"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":[0.00002981055,0.000008545199,0.0001438737,0.0002466657,0.00001341768,0.000006283739,0.000007906131,0.0001220084,0.00003365681,0.0002686857,0.9984214,0.0006978022],"study_design_scores_gemma":[0.0002761402,0.00002215981,0.001599802,0.0003080705,0.00002783041,0.0000369232,0.00006553467,0.0005409506,0.0002869661,0.001541538,0.9952605,0.00003353318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005252885,0.00005388671,0.00003414338,0.00007200523,0.00003034176,0.000005166992,0.9984686,0.0004801097,0.0008031221],"genre_scores_gemma":[0.0002334596,0.00003864279,0.0001176586,0.00005550304,0.00001001887,0.00002846744,0.9987683,0.0001251606,0.0006227964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389693,"threshold_uncertainty_score":0.5387014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489124798400566,"score_gpt":0.2557219760424267,"score_spread":0.2308307280584211,"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."}}