{"id":"W1241571153","doi":"10.1063/1.4922566","title":"Experimental issues in magnetic force microscopy of nanoparticles","year":2015,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Magnetic force microscope; Magnetic field; Characterization (materials science); Magnetic nanoparticles; Saturation (graph theory); Materials science; Demagnetizing field; Magnetization; Nanoscopic scale; Microscopy; Magnetic domain; Nanoparticle; Nanotechnology; Condensed matter physics; Nuclear magnetic resonance; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008150862,0.0001088637,0.0001537611,0.00004523414,0.00002600184,0.00004513884,0.0001804387,0.00002806551,0.0001554907],"category_scores_gemma":[0.000003122814,0.0001070136,0.00002892578,0.000148862,0.00009752053,0.0001452939,0.00006566758,0.0000695417,0.00001897294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001929275,"about_ca_system_score_gemma":0.00004685657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003989788,"about_ca_topic_score_gemma":0.000001329489,"domain_scores_codex":[0.999329,0.000002943419,0.000209974,0.0001794245,0.00008926279,0.000189425],"domain_scores_gemma":[0.9996526,0.000004937302,0.00007390183,0.00008068798,0.0001207831,0.00006707595],"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":[0.000010222,0.0001086591,0.06211632,0.000006624721,0.00000211646,6.392224e-8,0.001774772,1.879315e-7,0.8839719,0.05071017,0.0009024108,0.000396547],"study_design_scores_gemma":[0.0003072617,0.0001719001,0.0006738302,0.00004562922,0.000004374141,4.796643e-7,0.004107822,0.0006027216,0.9809152,0.0114684,0.001578084,0.0001242607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894348,0.0001638997,0.0007700617,0.0001816123,0.00001564932,0.0002175362,0.000007354901,0.00003326382,0.009175858],"genre_scores_gemma":[0.9946954,0.000002160244,0.00447436,0.0000223549,0.00002732124,0.0001054698,0.000004685916,0.00001080602,0.0006574976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09694333,"threshold_uncertainty_score":0.436389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188970467969613,"score_gpt":0.3091795458808143,"score_spread":0.2872898412011182,"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."}}