{"id":"W7058743199","doi":"","title":"\\n Sans réserve, Canada [Québec] 2007, 52 minutes","year":2008,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Data collection; Identification (biology)","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":[0.0008706498,0.002111524,0.001368301,0.001764739,0.005490876,0.00483671,0.001402146,0.002318702,0.608115],"category_scores_gemma":[0.002330417,0.0006903654,0.0008856104,0.003207735,0.0007147361,0.001209862,0.001571686,0.001790507,0.3802394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008213503,"about_ca_system_score_gemma":0.01441571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7050292,"about_ca_topic_score_gemma":0.9212651,"domain_scores_codex":[0.99927,0.00003944821,0.00002570911,0.00009795777,0.0003764302,0.0001904053],"domain_scores_gemma":[0.9985697,0.00006068848,0.00004407818,0.00006145476,0.0009311985,0.0003327797],"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":[0.0000341618,0.000007445362,0.0001173631,0.00005377507,0.000002865044,0.00001740481,0.00001285879,0.00004828726,0.00006290667,0.0001529665,0.9911675,0.008322434],"study_design_scores_gemma":[0.0000128652,0.000008647279,0.001737965,0.00007976362,0.000003171826,0.000008828367,0.00006567199,0.00003966645,0.00004894609,0.00005917526,0.9979292,0.000006174147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002175914,0.0152049,0.0008994068,0.009393519,0.03345206,0.00088973,0.05113398,0.002585365,0.8842652],"genre_scores_gemma":[0.001077422,0.001333612,0.0001591977,0.0003590341,0.0003446103,0.00005416238,0.002745002,0.0002965171,0.9936305],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.608115,"threshold_uncertainty_score":0.5934159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004499409013583245,"score_gpt":0.135071204883764,"score_spread":0.1305717958701808,"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."}}