{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00169529,0.0003235959,0.0003017348,0.001360287,0.000326302,0.000263923,0.0008784905,0.0003307495,0.001542258],"category_scores_gemma":[0.0005056518,0.0003417431,0.00007999139,0.0009364379,0.0004523505,0.00009220574,0.0001032212,0.0006346185,0.00003060936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162247,"about_ca_system_score_gemma":0.003881516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7494484,"about_ca_topic_score_gemma":0.9994012,"domain_scores_codex":[0.9947537,0.00004251515,0.0003394448,0.0006087829,0.003353437,0.0009021284],"domain_scores_gemma":[0.998172,0.0002545424,0.00006307897,0.0005593464,0.0006578466,0.0002931867],"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":[0.000006401432,0.00001368756,0.000001989792,0.000182157,0.00004760772,0.0000267565,0.00001495664,0.0008810778,0.0001016371,0.01530281,0.9815693,0.00185165],"study_design_scores_gemma":[0.0001777821,0.00001943959,0.00002929797,0.0001056431,0.00000556168,0.000003676596,0.00001757102,0.004106623,0.0008360429,0.0004674376,0.9938949,0.0003359872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004574797,0.0006788973,0.002570481,0.002360775,0.004673153,0.001334604,0.001207472,0.0004691678,0.9866597],"genre_scores_gemma":[0.004258873,0.00006625576,0.005368439,0.0000699822,0.0008745525,0.0001920241,0.0008347617,0.0003262696,0.9880089],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2499528,"threshold_uncertainty_score":0.9999034,"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."}}