{"id":"W6894198841","doi":"10.5683/sp3/dl0mds","title":"Environics Focus Canada 1987-3","year":2011,"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":"Public opinion; Focus (optics); 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":[0.0008772271,0.00226167,0.001708267,0.006499852,0.002853759,0.003598169,0.003502904,0.001244671,0.04375007],"category_scores_gemma":[0.00516753,0.001050337,0.001203371,0.02178749,0.0006336047,0.00110465,0.001543715,0.002010726,0.03780346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02314243,"about_ca_system_score_gemma":0.04450734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769165,"about_ca_topic_score_gemma":0.9880478,"domain_scores_codex":[0.9982085,0.0001121371,0.0001216976,0.0003555559,0.0006975523,0.0005045154],"domain_scores_gemma":[0.9948767,0.0002229533,0.0003218939,0.0003653428,0.003746343,0.0004669018],"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":[0.00003399147,0.000008999401,0.001740984,0.000134612,0.00001987868,0.00001677109,0.00002946827,0.0001263743,0.00002151449,0.0003905242,0.9963564,0.001120542],"study_design_scores_gemma":[0.0001352504,0.00001072817,0.03279609,0.0002795254,0.00004482352,0.00005005377,0.0002942242,0.0004902883,0.0002286164,0.0003743426,0.9652519,0.00004424874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000189073,0.00005413421,0.00002093888,0.00005271348,0.00001172798,0.000008887911,0.9987544,0.00005791519,0.000850194],"genre_scores_gemma":[0.0007365408,0.00006555801,0.00009944088,0.00003067009,0.000005219126,0.00003710625,0.9969804,0.00002775546,0.00201731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04375007,"threshold_uncertainty_score":0.1679109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685266517332635,"score_gpt":0.2185534353937632,"score_spread":0.2017007702204369,"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."}}