{"id":"W7099012728","doi":"","title":"CANADA: CHANGES AND IMPACTS............................................................................................................................4 3. EFFICIENCY TECHNOLOGIES............................................................................","year":2007,"lang":"en","type":"article","venue":"","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Production (economics); Set (abstract data type); Identification (biology); Yield (engineering)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001333583,0.0006727079,0.0004359505,0.0031602,0.00661901,0.005789917,0.001974793,0.002450543,0.0314771],"category_scores_gemma":[0.004485011,0.000369885,0.001142837,0.006493857,0.00184434,0.001122072,0.002358358,0.002428527,0.002354495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.117851,"about_ca_system_score_gemma":0.2478979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9966291,"about_ca_topic_score_gemma":0.9976967,"domain_scores_codex":[0.9951149,0.0002640646,0.00008528755,0.0001808258,0.002152415,0.00220253],"domain_scores_gemma":[0.9949699,0.0001738529,0.0002213502,0.0000895258,0.002824024,0.001721446],"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":[0.0003461035,0.0003193708,0.09383404,0.00136578,0.0001742251,0.0007592644,0.002432375,0.001673334,0.001067823,0.0482811,0.6411921,0.2085546],"study_design_scores_gemma":[0.0000544438,0.00005738337,0.3068234,0.0006257303,0.00009667025,0.0002109745,0.005812447,0.0008214519,0.0006628104,0.001872713,0.6828771,0.00008502058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1649074,0.04008022,0.002474074,0.25439,0.004078713,0.000524001,0.08379259,0.001835393,0.4479176],"genre_scores_gemma":[0.6153798,0.04541718,0.005939597,0.02967651,0.000627288,0.0001831172,0.01839508,0.0004539237,0.2839275],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9966291,"threshold_uncertainty_score":0.8550728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665422000610149,"score_gpt":0.3611863896548317,"score_spread":0.3245321696487302,"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."}}