{"id":"W4398596998","doi":"10.7910/dvn/pkjufn/xqbich","title":"FCC2002.203.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; Göran; Computer science; Art; Computer network; Humanities","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":[0.001348233,0.003076937,0.001706615,0.004637191,0.001242858,0.004180792,0.004071044,0.003252679,0.1657434],"category_scores_gemma":[0.008421737,0.0009543384,0.001589587,0.008138331,0.000671306,0.002460536,0.002489427,0.002134543,0.2345947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022774,"about_ca_system_score_gemma":0.002831401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05867235,"about_ca_topic_score_gemma":0.08856059,"domain_scores_codex":[0.9987061,0.0002624343,0.0001229053,0.0003693787,0.0002629968,0.0002762733],"domain_scores_gemma":[0.9967727,0.0007351331,0.0002385289,0.0009423043,0.0009448369,0.0003665223],"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":[0.00002690256,0.000007414074,0.0001382262,0.0002072501,0.00001166307,0.000005760007,0.000007547754,0.0001055759,0.00002811899,0.0002732508,0.998572,0.0006163723],"study_design_scores_gemma":[0.000247163,0.00001803871,0.001517191,0.0002968304,0.00002326692,0.00002971733,0.00006644383,0.000493782,0.0002596295,0.001445315,0.9955719,0.00003066704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000438442,0.00003921337,0.00002724361,0.00006900023,0.00002872583,0.000004380264,0.9984822,0.0004623488,0.0008431086],"genre_scores_gemma":[0.0002273296,0.00003306092,0.0001160442,0.0000596281,0.000009209843,0.00002522052,0.9987097,0.0001436624,0.0006761678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342565,"threshold_uncertainty_score":0.5544671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534599937206565,"score_gpt":0.2541026328196213,"score_spread":0.2287566334475556,"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."}}