{"id":"W2243696321","doi":"10.1080/01406566.1986.10766851","title":"Squid Susceptibility Measurements on 5CB","year":2013,"lang":"en","type":"article","venue":"Molecular crystals and liquid crystals. Letters section","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Squid; Diamagnetism; Sensitivity (control systems); Magnetic susceptibility; Magnetometer; Measure (data warehouse); Component (thermodynamics); Tensor (intrinsic definition); Nuclear magnetic resonance; Scanning SQUID microscopy; Materials science; Condensed matter physics; Analytical Chemistry (journal); Chemistry; Physics; Magnetic field; Gradiometer; Computer science; Chromatography; Engineering; Mathematics; Thermodynamics; Biology; Electronic engineering; Data mining; Ecology; Geometry","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":[0.0003899245,0.0003874889,0.000382814,0.0005562315,0.0005821768,0.000390113,0.000519415,0.0002384585,0.01008024],"category_scores_gemma":[0.0005969219,0.0002026702,0.0001406947,0.0004392879,0.0004075828,0.000406878,0.0004616893,0.0006297145,0.001938773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007357169,"about_ca_system_score_gemma":0.0004178426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007037729,"about_ca_topic_score_gemma":0.008319102,"domain_scores_codex":[0.9996272,0.00003637013,0.00001507301,0.00007912355,0.0001460098,0.00009621647],"domain_scores_gemma":[0.9993944,0.00007656471,0.00005445658,0.00007835616,0.0003135882,0.00008262575],"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":[0.00005172694,0.000004300549,0.00007964924,0.00002969162,0.000003768628,0.00002596265,0.00002533618,0.00001290229,0.9989189,0.0001705618,0.0001114625,0.0005656796],"study_design_scores_gemma":[0.00001258706,0.0001080488,0.00179936,0.00001107542,0.00001416646,0.00005535666,0.00003654214,0.0002945767,0.9947871,0.00009213955,0.002784502,0.000004630397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554739,0.002104,0.01842234,0.0003600882,0.0001955196,0.00007448869,0.001200511,0.0009321434,0.02123706],"genre_scores_gemma":[0.984389,0.000687634,0.003310091,0.000153115,0.00003031192,0.00003575292,0.0007124254,0.0001052586,0.01057645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008024,"threshold_uncertainty_score":0.0337218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086633159060711,"score_gpt":0.2602901987985936,"score_spread":0.2394238672079865,"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."}}