{"id":"W7055307074","doi":"","title":"3 Canadian Stocks to Buy in Booming Sectors By The Motley Fool","year":2021,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Motley; Government (linguistics); Stock (firearms); Work (physics)","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":[0.0005689752,0.0008732183,0.0003385912,0.001770547,0.005661482,0.006164129,0.0007347024,0.002692184,0.3003364],"category_scores_gemma":[0.002261708,0.0003526614,0.0006141064,0.001454219,0.0007257094,0.001272655,0.001350103,0.002553339,0.08763408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01457988,"about_ca_system_score_gemma":0.03722525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8161112,"about_ca_topic_score_gemma":0.9444937,"domain_scores_codex":[0.9990942,0.00002164661,0.00001385499,0.00006205907,0.0004656326,0.0003426134],"domain_scores_gemma":[0.9976401,0.00007679109,0.00004587955,0.0000685475,0.001277901,0.0008907969],"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":[0.00001785398,0.00001048027,0.0004418041,0.00001370474,0.000002326821,0.0000320185,0.00002416132,0.00002974663,0.00005540294,0.007080827,0.9806851,0.01160642],"study_design_scores_gemma":[0.000007887106,0.000004720155,0.001299922,0.00003258684,0.000002783882,0.00001777621,0.0000991083,0.00005913609,0.00008620488,0.0007145233,0.9976673,0.000008043363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001946697,0.001339796,0.0001716573,0.01605821,0.003660509,0.00008180636,0.008174463,0.0002767869,0.9682901],"genre_scores_gemma":[0.004416099,0.0004732461,0.0001365949,0.002153292,0.0002064905,0.00001482607,0.0009965865,0.00009986972,0.9915031],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3003364,"threshold_uncertainty_score":0.9979852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007215775962255101,"score_gpt":0.2454032602572835,"score_spread":0.2381874842950284,"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."}}