{"id":"W7014244859","doi":"","title":"Oppy Announces Strategic Partnership with DEEP to Build Canada’s Greenest Greenhouse","year":2024,"lang":"en","type":"other","venue":"","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"General partnership; Government (linguistics); Greenhouse; Sustainability","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":[],"consensus_categories":[],"category_scores_codex":[0.00004887926,0.0003001677,0.0002502934,0.0001430057,0.00004016505,0.000272575,0.000773401,0.000080671,0.0001846655],"category_scores_gemma":[0.00000592882,0.0002111865,0.00002993818,0.0003670608,0.00002909913,0.00005124909,0.0001410135,0.0001634685,0.0003301674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000687604,"about_ca_system_score_gemma":0.00106637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3437314,"about_ca_topic_score_gemma":0.9007976,"domain_scores_codex":[0.9981198,0.00002633419,0.0001853748,0.0006878388,0.0006401406,0.000340463],"domain_scores_gemma":[0.999176,0.00007097513,0.00005104962,0.0003626447,0.00007002988,0.000269323],"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":[0.00000464888,0.00001461291,0.00001580429,0.00007759855,0.00005919368,0.0003006301,0.00004082512,0.001881674,3.319345e-7,0.4942717,0.5007946,0.00253844],"study_design_scores_gemma":[0.0003249316,0.0003998332,0.0001376053,0.0007458553,0.00007153419,0.0001170263,0.0001436634,0.2411175,0.000004563705,0.09706418,0.6580445,0.001828899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000006380443,0.0003267538,0.5386291,0.001476908,0.0002254956,0.0001333099,0.00002050876,0.0003183258,0.4588633],"genre_scores_gemma":[0.01442159,0.00001106463,0.1946834,0.003321219,0.0004425487,0.00005295768,0.0000253382,0.0002740019,0.7867678],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5570661,"threshold_uncertainty_score":0.8611935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139542731746933,"score_gpt":0.2546566561822689,"score_spread":0.2232612288647996,"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."}}