{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001320808,0.0008841075,0.0008986455,0.001330005,0.001955834,0.004302234,0.001321108,0.004782507,0.441468],"category_scores_gemma":[0.007887782,0.0003349558,0.0005697167,0.0006344296,0.0005420817,0.003103792,0.002338955,0.004860643,0.3292027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009085953,"about_ca_system_score_gemma":0.001462402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941994,"about_ca_topic_score_gemma":0.005142247,"domain_scores_codex":[0.9991608,0.0001116003,0.00003811301,0.0001345698,0.0004038668,0.0001510684],"domain_scores_gemma":[0.9952455,0.0008656499,0.0002886585,0.0002302456,0.001776729,0.001593257],"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":[0.00001568645,0.000006121896,0.00002060569,0.00002081902,5.665029e-7,0.00002121871,0.000008357105,0.000004353064,0.00003728342,0.0004883662,0.9937849,0.005591684],"study_design_scores_gemma":[0.000004322558,0.000009067805,0.0001231352,0.00002915509,9.7417e-7,0.00002202402,0.00002934477,0.00001252921,0.00004442708,0.0002401247,0.9994819,0.000003190399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0009141233,0.0104177,0.001747677,0.1857221,0.5063745,0.0004272434,0.003484824,0.002006797,0.2889051],"genre_scores_gemma":[0.001564782,0.001300129,0.0002590029,0.01458482,0.02141491,0.0000849875,0.0008143909,0.0004735227,0.9595035],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.441468,"threshold_uncertainty_score":0.7966781,"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."}}