{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002044989,0.0001406091,0.0001590874,0.0001738852,0.0003444568,0.0004490755,0.0003553985,0.000050356,0.0004116209],"category_scores_gemma":[0.0001858793,0.0001118224,0.00007459053,0.0003406137,0.00002106922,0.0006196654,0.0001784931,0.000161232,0.0004729299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008322908,"about_ca_system_score_gemma":0.00007013557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01575169,"about_ca_topic_score_gemma":0.04604232,"domain_scores_codex":[0.9989128,0.000002606429,0.0002076781,0.0001708071,0.0002666378,0.0004394607],"domain_scores_gemma":[0.9996026,0.0000311959,0.0001153884,0.0001440471,0.0000820369,0.00002472878],"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":[0.00001027451,0.00001111514,0.007807779,0.00002968182,0.00002532088,0.00003156857,0.00001818134,0.00008558075,0.0001251461,0.002105347,0.9815274,0.008222635],"study_design_scores_gemma":[0.0004403561,0.00001554166,0.01788401,0.00005538582,0.0000328085,0.000006235049,0.0007862129,0.000465936,0.000117818,0.004212652,0.9757206,0.0002623933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521838,0.0003431829,0.006163109,0.02693176,0.001918092,0.000495976,0.00007836975,0.0003981049,0.01148759],"genre_scores_gemma":[0.9852155,0.00003656933,0.00008111988,0.004518989,0.001409804,0.00002651629,0.00003072398,0.0000415042,0.008639297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03303165,"threshold_uncertainty_score":0.9908025,"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."}}