{"id":"W6950583754","doi":"10.5683/sp3/epff4q","title":"Environics Focus Canada 2005-4","year":2010,"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":[0.00086774,0.002218156,0.001572331,0.006297629,0.002604691,0.003599955,0.003409509,0.001271685,0.04431336],"category_scores_gemma":[0.004923833,0.0009358877,0.001209788,0.01873796,0.0005728419,0.001137435,0.001499813,0.001925741,0.03594175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02264278,"about_ca_system_score_gemma":0.04173778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740514,"about_ca_topic_score_gemma":0.987519,"domain_scores_codex":[0.9983511,0.0001054407,0.000105908,0.0003466105,0.0006462971,0.000444686],"domain_scores_gemma":[0.9956387,0.000192236,0.0002841649,0.0003420768,0.003072668,0.0004702455],"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":[0.00003044091,0.000008705919,0.001419143,0.0001102857,0.00001859008,0.00001492913,0.00002393652,0.0001196501,0.00002073466,0.0003281604,0.9968322,0.001073338],"study_design_scores_gemma":[0.0001266406,0.00001098199,0.02723649,0.0002605399,0.00004499179,0.00004593214,0.0002584283,0.000529577,0.0002259874,0.0003907512,0.9708242,0.00004540494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002127386,0.00006416574,0.00002376695,0.00006636023,0.00001644628,0.000008778177,0.9985002,0.00007439751,0.001033168],"genre_scores_gemma":[0.0007358743,0.00006710364,0.000106211,0.00003846972,0.000006045384,0.00003145405,0.9967578,0.00003070205,0.002226225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04431336,"threshold_uncertainty_score":0.1642856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008360840419243563,"score_gpt":0.2221788321377115,"score_spread":0.213817991718468,"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."}}