{"id":"W1469569384","doi":"","title":"Welcome to issue 22.1. The Naess Festshrift","year":2006,"lang":"en","type":"article","venue":"Trumpeter","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Internet privacy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003302812,0.0001204237,0.0002330032,0.0001011388,0.0001816116,0.0001248343,0.0003113044,0.00003870979,0.01269326],"category_scores_gemma":[0.00001881822,0.0001010595,0.00009926626,0.0001488798,0.00007526391,0.0001147079,0.0001246246,0.0000527591,0.1034061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004407874,"about_ca_system_score_gemma":0.000004694801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000451283,"about_ca_topic_score_gemma":0.00003914148,"domain_scores_codex":[0.9989706,0.00000596291,0.0003330792,0.0003535427,0.00002592335,0.0003108961],"domain_scores_gemma":[0.9994459,0.00003116554,0.00009385619,0.0003698099,0.00001197313,0.00004727436],"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":[0.000007469658,0.000033624,0.01547662,0.000005617657,0.00003068453,0.000003141906,0.0004552939,0.00008641766,0.000007038976,0.1376151,0.8458194,0.0004597032],"study_design_scores_gemma":[0.0001912416,0.00001620637,0.0254846,0.000003103467,0.000002736199,0.000002035133,0.0001271925,0.0001040466,0.00003148617,0.004814537,0.9690583,0.0001645208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1248411,0.0002839714,0.0001440205,0.002801459,0.004831406,0.0001870701,0.0001574701,0.00004813029,0.8667054],"genre_scores_gemma":[0.5890841,0.00001780961,0.0003006357,0.001383742,0.0006615634,0.00002897076,0.000004875525,0.00001616879,0.4085021],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4642431,"threshold_uncertainty_score":0.9882092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255438594984471,"score_gpt":0.2016727117123027,"score_spread":0.179118325762458,"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."}}