{"id":"W2908898474","doi":"10.1016/j.surfcoat.2019.01.027","title":"Effect of the deposition route on the microstructure of plasma-sprayed hydroxyapatite coatings","year":2019,"lang":"en","type":"article","venue":"Surface and Coatings Technology","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Région Occitanie Pyrénées-Méditerranée; Agence Nationale de la Recherche","keywords":"Microstructure; Materials science; Coating; Porosity; Particle size; Deposition (geology); Particle (ecology); Raman spectroscopy; Plasma; Particle-size distribution; Composite material; Titanium; Morphology (biology); Chemical engineering; Thermal spraying; Analytical Chemistry (journal); Metallurgy; Optics; Chemistry; Chromatography","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":[0.0001920798,0.0001512863,0.0002625983,0.00004460369,0.00003636455,0.000009128446,0.0002039523,0.0001758485,0.00001376557],"category_scores_gemma":[0.00005680424,0.00009393689,0.00003588041,0.000215057,0.00009672225,0.00003008351,0.00005467179,0.0002084702,0.00000701358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000158292,"about_ca_system_score_gemma":0.00000425918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002610589,"about_ca_topic_score_gemma":0.000004481743,"domain_scores_codex":[0.9993762,0.00003503572,0.0002146029,0.0001237198,0.00009750847,0.0001528781],"domain_scores_gemma":[0.9993589,0.0001778853,0.0001098591,0.0003210868,0.00002158013,0.00001067376],"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":[0.00001365257,0.000002335481,0.002642909,0.0001791574,0.00001519174,2.375044e-7,0.0001576667,0.005641872,0.9902511,0.0005101905,0.00004480905,0.0005408269],"study_design_scores_gemma":[0.0002547984,0.0002109369,0.0008017428,0.0001492132,0.00001814714,0.000008678102,0.00002903346,0.001564479,0.9966535,0.0001080143,0.0001117792,0.00008966072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987214,0.000101459,0.00004601582,0.0001747416,0.0002156261,0.0003584364,0.00001604293,0.0001780138,0.0001883263],"genre_scores_gemma":[0.9995517,0.00001224931,0.0003345085,0.00001032056,0.000006456284,0.000008344282,0.000001930856,0.00002667601,0.00004777105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006402365,"threshold_uncertainty_score":0.3830635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002053133090702465,"score_gpt":0.176769043068318,"score_spread":0.1747159099776155,"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."}}