{"id":"W6969503836","doi":"10.5683/sp3/pwaqkm","title":"Environics Focus Ontario 1998-4","year":2009,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovative Research Group (Canada)","funders":"","keywords":"Focus (optics); Public opinion; Field (mathematics); Focus group; Government (linguistics)","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":[0.0006200428,0.00185071,0.00119067,0.004139926,0.001974806,0.002127622,0.002804352,0.001128999,0.03255705],"category_scores_gemma":[0.003565879,0.0007796316,0.0010007,0.01136171,0.0005351073,0.0008272353,0.001297373,0.001210719,0.02786759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01350689,"about_ca_system_score_gemma":0.01697381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9442264,"about_ca_topic_score_gemma":0.9759781,"domain_scores_codex":[0.9989873,0.00006229172,0.00006781799,0.0002317267,0.0003891748,0.0002617597],"domain_scores_gemma":[0.997328,0.0001331391,0.0002625417,0.0002506665,0.001740897,0.0002847628],"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":[0.00006181837,0.0000114592,0.003423338,0.0001822448,0.00002235619,0.00002513893,0.00004164404,0.0001190091,0.00004878418,0.000260854,0.9943978,0.001405599],"study_design_scores_gemma":[0.0001957585,0.00001754432,0.06272729,0.0002217663,0.00004864609,0.00006564627,0.0002806698,0.0005458037,0.0002686076,0.0002913607,0.9352989,0.00003808787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004169749,0.00007122655,0.00002249272,0.00007287247,0.00001274935,0.000009267744,0.998315,0.00006276652,0.001016661],"genre_scores_gemma":[0.001126497,0.00006181279,0.00007568696,0.00002521947,0.000006278784,0.00003324199,0.9964589,0.0000182263,0.002194115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05577362,"threshold_uncertainty_score":0.1122041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601467111651895,"score_gpt":0.2427578986602168,"score_spread":0.2267432275436979,"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."}}