{"id":"W2056030504","doi":"10.1063/1.1619583","title":"Electrochemical cell for <i>in situ</i> magneto-optic Kerr effect measurements","year":2003,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University; Ontario Innovation Trust","keywords":"Materials science; In situ; Kerr effect; Electrochemistry; Hysteresis; Characterization (materials science); Ferromagnetism; Monolayer; Film plane; Thin film; Magnetic hysteresis; Electrochemical cell; Magnetization; Optics; Nuclear magnetic resonance; Magnetic anisotropy; Condensed matter physics; Nanotechnology; Electrode; Magnetic field; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006867998,0.0009964649,0.001443821,0.0009248842,0.001509562,0.0009170217,0.002911899,0.001403421,0.01201665],"category_scores_gemma":[0.001214693,0.0006859752,0.0003369543,0.001351706,0.000410779,0.001354099,0.001020405,0.003898267,0.006465259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259782,"about_ca_system_score_gemma":0.0006261491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003836127,"about_ca_topic_score_gemma":0.001272383,"domain_scores_codex":[0.997693,0.0001954823,0.0001682368,0.000704587,0.001081801,0.0001568379],"domain_scores_gemma":[0.9992058,0.000204221,0.00006015223,0.0001488997,0.0002868072,0.00009419489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008680036,0.00006536987,0.000229452,0.0003751283,0.00002102838,0.000155586,0.00008690306,0.00005654987,0.9724445,0.002569641,0.005112056,0.01879697],"study_design_scores_gemma":[0.00003711281,0.0001026046,0.0007926175,0.00002933038,0.00003346832,0.0008959102,0.00005829808,0.002147495,0.9250159,0.0009100496,0.06993515,0.00004206997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1315574,0.0105324,0.789242,0.002956892,0.004623948,0.002875275,0.01235703,0.01353795,0.03231709],"genre_scores_gemma":[0.3111525,0.01040391,0.6228431,0.002404655,0.001081817,0.00537198,0.006875603,0.001063193,0.03880315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01201665,"threshold_uncertainty_score":0.0401997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490652705665759,"score_gpt":0.2412668665241818,"score_spread":0.2263603394675242,"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."}}