{"id":"W7083299091","doi":"10.22329/uwdj.v1i1.8317","title":"30 by 30 – A long way to go for Canada?","year":2023,"lang":"en","type":"article","venue":"UWill Discover Journal","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Tourism; Climate change; Wildlife; Fish stock; Fish <Actinopterygii>; Sink (geography); Fossil fuel; Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607608,0.0007310298,0.0005204314,0.001339886,0.01837171,0.009940834,0.001303499,0.003728286,0.08311865],"category_scores_gemma":[0.003936097,0.0002820814,0.0005407775,0.002823754,0.004762813,0.005890111,0.003559792,0.005395594,0.0143884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05209871,"about_ca_system_score_gemma":0.1672461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9742568,"about_ca_topic_score_gemma":0.9896005,"domain_scores_codex":[0.9969207,0.0001803012,0.00006245033,0.0002594842,0.001192428,0.001384683],"domain_scores_gemma":[0.9944066,0.0001319084,0.0001108325,0.0001085366,0.002068363,0.003173855],"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":[0.00004660012,0.00004182334,0.005677011,0.0001479969,0.00001221335,0.0003145087,0.001840432,0.00005147549,0.0003250236,0.03604634,0.8782638,0.0772327],"study_design_scores_gemma":[0.000005640101,0.00001319315,0.006452668,0.0002039132,0.000005112707,0.0001148286,0.004761253,0.00004587756,0.00007722773,0.002291483,0.9859933,0.00003544271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01796775,0.02091824,0.0007060406,0.7008029,0.007796911,0.00009518516,0.004961071,0.0004103587,0.2463416],"genre_scores_gemma":[0.1706347,0.03033892,0.002715031,0.2007005,0.00107833,0.0001005527,0.004118337,0.0004104748,0.5899032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08311865,"threshold_uncertainty_score":0.3780044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387747110171727,"score_gpt":0.2268152765253372,"score_spread":0.2129378054236199,"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."}}