{"id":"W7059851641","doi":"","title":"Montreal 1976","year":2007,"lang":"en","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Set (abstract data type); Work (physics); Subject (documents); Perspective (graphical)","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":[0.0005688296,0.001858654,0.0008821511,0.002921264,0.003367707,0.00479005,0.001739277,0.001239669,0.5548308],"category_scores_gemma":[0.001360913,0.0007265903,0.0007134291,0.005931457,0.001133196,0.002925094,0.001716607,0.001725133,0.3534124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004777384,"about_ca_system_score_gemma":0.004363828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2459274,"about_ca_topic_score_gemma":0.4875278,"domain_scores_codex":[0.9993008,0.00005747856,0.00003017605,0.0002113199,0.0003065943,0.00009359554],"domain_scores_gemma":[0.9993717,0.00006925409,0.00002105921,0.0001173636,0.0003507279,0.00006984954],"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":[0.00003100317,0.00003190071,0.0005246655,0.0001434467,0.00001094099,0.0001421723,0.0002643122,0.0004601562,0.0004131549,0.04339363,0.7092178,0.2453668],"study_design_scores_gemma":[0.00000250997,0.00000352054,0.0003308683,0.00005836871,0.000003847551,0.0000438103,0.00005889173,0.00005573481,0.0001308755,0.001419039,0.9978881,0.000004395407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000479253,0.006184545,0.002578957,0.0009146892,0.0008457109,0.00005434901,0.004225617,0.0005193684,0.9841976],"genre_scores_gemma":[0.001493149,0.002405661,0.001246965,0.0001060021,0.00005005866,0.00002660452,0.001132296,0.0002284944,0.9933107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7540725,"threshold_uncertainty_score":0.6349797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401842005407155,"score_gpt":0.3054530962659788,"score_spread":0.2714346762119072,"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."}}