{"id":"W3134068984","doi":"10.25316/ir-15444","title":"An exploration of factors contributing to smooth and efficient development approvals processes on Vancouver Island","year":2021,"lang":"en","type":"dissertation","venue":"VIURRSpace (Vancouver Island University)","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental planning; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001472552,0.0003944376,0.0004473191,0.0001814552,0.0003968955,0.00004956083,0.0002342052,0.0002334913,0.0002373925],"category_scores_gemma":[0.0000498772,0.0003813681,0.00006215664,0.0005483819,0.0000710656,0.0005280184,0.0001355151,0.0002055086,0.00001300183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175033,"about_ca_system_score_gemma":0.0001265628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000302066,"about_ca_topic_score_gemma":0.02167454,"domain_scores_codex":[0.9980049,0.00009087419,0.0002350289,0.0006316483,0.0006007158,0.000436796],"domain_scores_gemma":[0.9991137,0.00006963765,0.0003112764,0.0002293901,0.0000455335,0.0002304555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005985006,0.01589072,0.08450414,0.004666675,0.002181248,0.0008275586,0.5035571,0.1232371,0.05407415,0.000449986,0.1619426,0.04268372],"study_design_scores_gemma":[0.008993509,0.002997084,0.08587568,0.002501578,0.0009635463,0.000001808257,0.45917,0.0005040448,0.1477007,0.0001797927,0.285051,0.006061282],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479841,0.00002557034,0.001406843,0.00001595618,0.0006183225,0.0006523838,0.0001068131,0.00003699473,0.049153],"genre_scores_gemma":[0.9675022,0.00006246191,0.0003531071,0.00004570901,0.0000331593,0.000004594135,0.00007166389,0.00003769467,0.03188946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1231085,"threshold_uncertainty_score":0.9998638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369370131243702,"score_gpt":0.2392346581161322,"score_spread":0.2255409568036952,"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."}}